From 702647d84e5c01c11f649ca2e5fee77ae659d8fe Mon Sep 17 00:00:00 2001 From: robert Date: Fri, 11 Sep 2026 13:05:38 +0000 Subject: [PATCH] Updated the parameter names contained within the matlab controller david1606 TBD: parameters outside the controller, parameters contained on the old parameter doc --- .gitignore | 11 + .python-version | 1 + AICONTROL/README.md | 66 + AICONTROL/aicontrol/__init__.py | 3 + AICONTROL/aicontrol/env/__init__.py | 1 + AICONTROL/aicontrol/env/spaces.py | 147 ++ AICONTROL/configs/env.yaml | 40 + AICONTROL/docs/interface-draft.md | 103 + AICONTROL/docs/results-file.md | 131 ++ AICONTROL/pyproject.toml | 17 + AICONTROL/tests/test_spaces.py | 34 + CLAUDE.md | 112 ++ .../simulator-io-interface.md | 21 +- pyproject.toml | 52 + uv.lock | 1751 +++++++++++++++++ 15 files changed, 2485 insertions(+), 5 deletions(-) create mode 100644 .python-version create mode 100644 AICONTROL/README.md create mode 100644 AICONTROL/aicontrol/__init__.py create mode 100644 AICONTROL/aicontrol/env/__init__.py create mode 100644 AICONTROL/aicontrol/env/spaces.py create mode 100644 AICONTROL/configs/env.yaml create mode 100644 AICONTROL/docs/interface-draft.md create mode 100644 AICONTROL/docs/results-file.md create mode 100644 AICONTROL/pyproject.toml create mode 100644 AICONTROL/tests/test_spaces.py create mode 100644 CLAUDE.md create mode 100644 pyproject.toml create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore index a8d57a9..64cc84b 100644 --- a/.gitignore +++ b/.gitignore @@ -23,3 +23,14 @@ slprj/ # Personal data — recruitment notes on named candidates. Kept locally, never committed. # Root-anchored so it cannot catch the generic question template in docs/. /Interview Questions-*.md + +# Python — the shared environment is rebuilt from uv.lock with `uv sync`; never commit it +.venv/ +__pycache__/ +*.pyc +.pytest_cache/ +*.egg-info/ + +# Experiment logs and local data downloads +wandb/ +**/data/raw/ diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/AICONTROL/README.md b/AICONTROL/README.md new file mode 100644 index 0000000..3e63beb --- /dev/null +++ b/AICONTROL/README.md @@ -0,0 +1,66 @@ +# AICONTROL — the AI & Control cluster's folder + +Everything our cluster writes lives here: the placeholder environment, the forecasting +harness, the training rig, the evaluation pipeline, the safety layer and the dashboard. The +plan we work from is [`docs/01-project/ai-control-cluster-plan-2026-2027.md`](../docs/01-project/ai-control-cluster-plan-2026-2027.md). + +## Clone and run + +The whole team shares one Python environment, pinned at the repository root. You need Python +3.12 and [uv](https://docs.astral.sh/uv/) (one-off: `pip install uv`). + +```bash +git clone https://git.teamshiftenergy.com/pepe/ALLSHIFT.git +cd ALLSHIFT +uv sync # first time: creates .venv/ with everyone's tools, a few minutes +uv run pytest # runs our tests; all green means your setup works +``` + +`uv sync` reads `uv.lock`, so everyone gets exactly the same versions. Never commit `.venv/`. +If you add a package, add it to the root `pyproject.toml`, run `uv lock`, and commit the +updated `uv.lock` with your change. + +## What is where + +``` +AICONTROL/ +├── aicontrol/ ← Python package (import aicontrol) +│ └── env/ +│ └── spaces.py ← what the agent sees and controls, built from configs/env.yaml +├── configs/ +│ └── env.yaml ← plant sizes, observation ranges, forecast layout, PLACEHOLDER reward weights +├── docs/ +│ └── interface-draft.md← the Simulations → AI handover, drafted for the November session +├── tests/ ← pytest; run from the repository root with `uv run pytest` +└── README.md +``` + +Folders that will appear as the work does: `env/placeholder.py` (the placeholder +environment), `forecast/`, `train/`, `evaluate/`, `safety/`, `dashboard/`. + +## Who does what + +| Person | Seats | +|---|---| +| Lead | RL Environment + Safety | +| Person 2 | RL Training | +| Person 3 | RL Evaluation + Explainability & Dashboard | +| Person 4 | Forecasting | + +## Q1 goal — what runs on Friday 16 October + +1. The placeholder environment, with a determinism test and an energy test. +2. A training script (PPO or SAC on the placeholder, three seeds, logged to Weights & Biases). +3. The results pipeline: any controller × any scenario → one row; the comparison table; the + column list for Business. Controller names reserved: `rule_based`, `mpc`, + `perfect_knowledge`, `agent`. +4. The forecasting harness with "same as yesterday" baselines and a skill score. +5. The interface document, ready for the joint session with Simulations. + +## Rules we keep + +- Never commit `.venv/`, Weights & Biases run folders, or raw data downloads (the `.gitignore` + covers them). +- Machine-made tables are Parquet; hand-written settings are YAML; documents are Markdown. +- The placeholder environment never gets better physics. The day the twin runs, we point at it + and delete the placeholder. diff --git a/AICONTROL/aicontrol/__init__.py b/AICONTROL/aicontrol/__init__.py new file mode 100644 index 0000000..3cc8974 --- /dev/null +++ b/AICONTROL/aicontrol/__init__.py @@ -0,0 +1,3 @@ +"""AI & Control cluster package for Team SHIFT.""" + +__version__ = "0.1.0" diff --git a/AICONTROL/aicontrol/env/__init__.py b/AICONTROL/aicontrol/env/__init__.py new file mode 100644 index 0000000..48f1074 --- /dev/null +++ b/AICONTROL/aicontrol/env/__init__.py @@ -0,0 +1 @@ +"""The environment side: spaces now, the placeholder environment next week.""" diff --git a/AICONTROL/aicontrol/env/spaces.py b/AICONTROL/aicontrol/env/spaces.py new file mode 100644 index 0000000..f209624 --- /dev/null +++ b/AICONTROL/aicontrol/env/spaces.py @@ -0,0 +1,147 @@ +"""Observation and action spaces for the SHIFT hospital microgrid: the sketch. + +Week-1 work for the RL Environment seat. This fixes the *shape* of what the agent sees and +what it controls, built from ``configs/env.yaml``, so that the placeholder environment (next +week) and later the real twin from Simulations both expose exactly this interface. + +Conventions +----------- +* One observation is one flat float32 vector. Every slot has a name, a unit and a range. +* One action is four floats: electrolyser, fuel cell, battery, shedding level. +* Names follow the Simulator I/O sheet where it has one (``P_PV``, ``SoC``, ``H2_level``, + ``p_tank``, ``price``, ``CO2_int``, ``grid_on``); the Project Manual's interface list + decides what is in and what is out. +* Ranges are bounds for scaling and sanity checks, not physical guarantees. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from pathlib import Path +from typing import Any + +import numpy as np +import yaml +from gymnasium import spaces + +DEFAULT_CONFIG = Path(__file__).resolve().parents[2] / "configs" / "env.yaml" + +# Shedding levels, as the manual lists them. +SHEDDING_NONE = 0 # nothing shed +SHEDDING_TIER3 = 1 # Tier 3 shed +SHEDDING_TIERS_2_3 = 2 # Tiers 2 and 3 shed; Tier 1 is never shed + +ACTION_NAMES = ("u_ele", "u_fc", "u_batt", "shed") + + +@dataclass(frozen=True) +class Slot: + """One named block of the observation vector.""" + + name: str + unit: str + low: float + high: float + size: int = 1 + source: str = "" # where the value comes from: twin state, data, calendar, forecaster + + +def load_config(path: str | Path | None = None) -> dict[str, Any]: + """Read the environment settings (defaults to ``AICONTROL/configs/env.yaml``).""" + with open(path or DEFAULT_CONFIG, encoding="utf-8") as f: + return yaml.safe_load(f) + + +def observation_slots(cfg: dict[str, Any]) -> list[Slot]: + """The observation layout, in order. Change the config, not this list, to resize things.""" + plant = cfg["plant"] + obs = cfg["observation"] + fc = cfg["forecast"] + price_low, price_high = obs["price_range"] + co2_low, co2_high = obs["co2_range"] + + slots = [ + Slot("time_of_day", "sin, cos", -1.0, 1.0, 2, "calendar"), + Slot("time_of_year", "sin, cos", -1.0, 1.0, 2, "calendar"), + Slot("P_PV", "kW", 0.0, plant["pv_kw"], 1, "twin: solar output now"), + Slot("L_tier1", "kW", 0.0, plant["load_max_kw"], 1, "data: critical load now"), + Slot("L_tier2", "kW", 0.0, plant["load_max_kw"], 1, "data: essential load now"), + Slot("L_tier3", "kW", 0.0, plant["load_max_kw"], 1, "data: non-critical load now"), + Slot("SoC", "fraction 0-1", 0.0, 1.0, 1, "twin: battery state of charge"), + Slot("H2_level", "kg", 0.0, plant["h2_capacity_kg"], 1, "twin: hydrogen in the tank"), + Slot("p_tank", "bar", 0.0, plant["tank_p_max_bar"], 1, "twin: tank pressure"), + Slot("price", "currency/kWh", price_low, price_high, 1, "data: electricity price now"), + Slot("CO2_int", "kg CO2/kWh", co2_low, co2_high, 1, "data: grid carbon intensity now"), + Slot("grid_on", "0/1", 0.0, 1.0, 1, "data: grid available"), + Slot("ele_on", "0/1", 0.0, 1.0, 1, "twin: electrolyser running"), + Slot("fc_on", "0/1", 0.0, 1.0, 1, "twin: fuel cell running"), + ] + quantiles = ", ".join(fc["quantiles"]) + for quantity in fc["quantities"]: + high = plant["pv_kw"] if quantity == "solar" else plant["load_max_kw"] + for horizon in fc["horizons_min"]: + slots.append( + Slot( + f"fcst_{quantity}_{horizon}min", + "kW", + 0.0, + high, + len(fc["quantiles"]), + f"forecaster: {quantiles} at +{horizon} min", + ) + ) + return slots + + +def observation_size(cfg: dict[str, Any]) -> int: + return sum(slot.size for slot in observation_slots(cfg)) + + +def build_observation_space(cfg: dict[str, Any]) -> spaces.Box: + slots = observation_slots(cfg) + low = np.concatenate([np.full(s.size, s.low, dtype=np.float32) for s in slots]) + high = np.concatenate([np.full(s.size, s.high, dtype=np.float32) for s in slots]) + return spaces.Box(low=low, high=high, dtype=np.float32) + + +def build_action_space(cfg: dict[str, Any]) -> spaces.Box: + """Four floats. + + ``u_ele`` in [0, 1]: fraction of electrolyser rated power (0 = off) + ``u_fc`` in [0, 1]: fraction of fuel cell rated power (0 = off) + ``u_batt`` in [-1, 1]: fraction of battery max power; positive discharges, negative charges + ``shed`` in [0, L-1]: rounded to a shedding level (0 nothing, 1 Tier 3, 2 Tiers 2 and 3) + + Stable-Baselines3 algorithms take either all-continuous or all-discrete actions, so the + three-way shedding choice rides along as a continuous number and is rounded inside the + environment. To confirm at the joint session with Simulations. + """ + levels = cfg["action"]["shedding_levels"] + low = np.array([0.0, 0.0, -1.0, 0.0], dtype=np.float32) + high = np.array([1.0, 1.0, 1.0, float(levels - 1)], dtype=np.float32) + return spaces.Box(low=low, high=high, dtype=np.float32) + + +def shedding_level(action: np.ndarray, cfg: dict[str, Any]) -> int: + """Turn the fourth action number into a shedding level, clipped to the allowed ones.""" + levels = cfg["action"]["shedding_levels"] + return int(np.clip(np.rint(action[3]), 0, levels - 1)) + + +def describe(cfg: dict[str, Any]) -> str: + """Markdown table of the observation layout, for the interface document.""" + lines = ["| # | name | size | unit | range | source |", "|---|---|---|---|---|---|"] + index = 0 + for s in observation_slots(cfg): + lines.append( + f"| {index} | `{s.name}` | {s.size} | {s.unit} | {s.low:g} … {s.high:g} | {s.source} |" + ) + index += s.size + return "\n".join(lines) + + +if __name__ == "__main__": + config = load_config() + print(describe(config)) + print(f"\nobservation size: {observation_size(config)}") + print(f"action space: {build_action_space(config)}") diff --git a/AICONTROL/configs/env.yaml b/AICONTROL/configs/env.yaml new file mode 100644 index 0000000..6b206e0 --- /dev/null +++ b/AICONTROL/configs/env.yaml @@ -0,0 +1,40 @@ +# Environment settings — the shape of the Simulations → AI handover. +# +# This file feeds aicontrol/env/spaces.py now and the placeholder environment next week. +# Values marked PLACEHOLDER are ours until: the joint session with Simulations (November) +# for sizes, ranges and the forecast layout; the reward-weight conversation with Energy +# Management and Business (Q2) for the weights. Same YAML style as Simulations' scenario +# files, to be aligned with their core developer. + +step_minutes: 5 # the manual's timestep; 105,120 steps per year + +plant: # PLACEHOLDER: the Rijnstate-type pilot plant from the cost register + pv_kw: 460 # 2,300 m² of panels + electrolyser_kw: 118 # H2B2 EL20N datasheet, found in the live Simulink model + fuel_cell_kw: 100 + battery_kwh: 500 + battery_kw: 250 + h2_capacity_kg: 200 + tank_p_max_bar: 30 # 30 bar storage, from the cost register + load_max_kw: 1000 # upper bound for scaling load observations, PLACEHOLDER + +observation: + price_range: [-1.0, 5.0] # currency per kWh; negative prices happen + co2_range: [0.0, 1.5] # kg CO2 per kWh + +forecast: # the block of forecasts the agent sees; layout to agree with Simulations + quantities: [solar, tier1, tier2, tier3] + horizons_min: [60, 180, 360, 1440] + quantiles: [p10, p50, p90] # best / likely / worst, as the manual asks + +action: + shedding_levels: 3 # 0 nothing, 1 Tier 3, 2 Tiers 2 and 3 + +reward: # PLACEHOLDER weights — not ours to set; a proposal for the Q2 conversation + cost_per_currency: -1.0 # energy cost this step + co2_per_kg: -0.05 # emissions this step + tier1_unserved_per_kwh: -1000.0 # must dominate everything else + tier2_shed_per_kwh: -2.0 + tier3_shed_per_kwh: -0.5 + limit_violation: -10.0 # battery or tank pushed past a safe limit + switching: -0.1 # equipment switched on or off this step diff --git a/AICONTROL/docs/interface-draft.md b/AICONTROL/docs/interface-draft.md new file mode 100644 index 0000000..8fbcaad --- /dev/null +++ b/AICONTROL/docs/interface-draft.md @@ -0,0 +1,103 @@ +# The Simulations → AI interface — draft for the November session + +| | | +|---|---| +| **What this is** | Our side of the handover the Project Manual calls "the environment interface": what the agent sees, what it controls, how it is scored. Written by the RL Environment seat; to be finished jointly with Simulations' Simulation Core Developer early in Q2 and frozen before Christmas | +| **Where it lives in code** | `aicontrol/env/spaces.py` builds the spaces from `configs/env.yaml`. Run `uv run python -m aicontrol.env.spaces` to print the current layout | +| **Grown from** | The manual's interface list (section 3.2) and our older Simulator I/O sheet, whose names we keep where they exist | +| **Status** | Draft, 11 Sep 2026. Everything marked *to agree* is open until the joint session | + +## The idea in one paragraph + +The agent and the simulated hospital talk through a Gymnasium environment: `reset()` starts a +run, `step(action)` advances five minutes and returns what the agent may see next, plus a +score. Simulations owns everything inside `step` (the physics, the KPIs); we own everything +outside it (the agent, the safety layer, the evaluation). The two only have to agree on three +lists, below. Until the twin exists, a placeholder environment with toy physics exposes exactly +these lists so our side can be built now. + +## 1. What the agent sees + +One flat vector of 64 numbers per step, laid out from `configs/env.yaml`. The first sixteen are +the present; the remaining 48 are the forecasts. + +| # | name | size | unit | range | source | +|---|---|---|---|---|---| +| 0 | `time_of_day` | 2 | sin, cos | −1 … 1 | calendar | +| 2 | `time_of_year` | 2 | sin, cos | −1 … 1 | calendar | +| 4 | `P_PV` | 1 | kW | 0 … 460 | twin: solar output now | +| 5 | `L_tier1` | 1 | kW | 0 … 1000 | data: critical load now | +| 6 | `L_tier2` | 1 | kW | 0 … 1000 | data: essential load now | +| 7 | `L_tier3` | 1 | kW | 0 … 1000 | data: non-critical load now | +| 8 | `SoC` | 1 | fraction 0–1 | 0 … 1 | twin: battery state of charge | +| 9 | `H2_level` | 1 | kg | 0 … 200 | twin: hydrogen in the tank | +| 10 | `p_tank` | 1 | bar | 0 … 30 | twin: tank pressure | +| 11 | `price` | 1 | currency/kWh | −1 … 5 | data: electricity price now | +| 12 | `CO2_int` | 1 | kg CO₂/kWh | 0 … 1.5 | data: grid carbon intensity now | +| 13 | `grid_on` | 1 | 0/1 | 0 … 1 | data: grid available | +| 14 | `ele_on` | 1 | 0/1 | 0 … 1 | twin: electrolyser running | +| 15 | `fc_on` | 1 | 0/1 | 0 … 1 | twin: fuel cell running | +| 16–63 | `fcst__min` | 3 each | kW | 0 … max | forecaster: p10, p50, p90 for solar, tier1, tier2, tier3 at +60, +180, +360, +1440 min | + +Why sin and cos for time: a clock hand, not a number that jumps from 23:59 to 00:00. Why +ranges: they scale the numbers for the network and let a test catch nonsense; they are not +physical guarantees. + +*To agree with Simulations:* which of these the twin reports directly (tank pressure or only +kilograms; equipment state as on/off or as a mode); the forecast horizons and whether four are +enough; the load upper bound once the dataset scale is known; the currency. + +## 2. What the agent controls + +Four floats per step. + +| name | range | meaning | +|---|---|---| +| `u_ele` | 0 … 1 | fraction of electrolyser rated power; 0 is off, anything below the minimum load becomes off | +| `u_fc` | 0 … 1 | fraction of fuel cell rated power | +| `u_batt` | −1 … 1 | fraction of battery max power; positive discharges, negative charges | +| `shed` | 0 … 2 | rounded to a shedding level: 0 nothing, 1 Tier 3 shed, 2 Tiers 2 and 3 shed. Tier 1 is never an option | + +The grid is not an action: it absorbs whatever is left after the four above, within its +connection limit. Load shedding *is* an action here, as the manual lists it, but the safety +layer will refuse anything that would touch Tier 1. + +*To agree with Simulations:* the shedding encoding (a continuous number rounded inside the +environment is the simplest thing that works with Stable-Baselines3, which cannot mix +continuous and discrete actions; the alternative is making all four discrete); whether the +twin wants setpoints in kW or in fractions; ramp limits applied inside the twin or reported +back as a clipped action. + +## 3. How it is scored + +The score per step is a weighted sum of the terms the manual lists. The *terms* are ours to +propose; the *weights* are agreed with Energy Management and Business, because they say how +much a euro, a kilo of CO₂ and a shed ward are worth relative to each other. The numbers in +`configs/env.yaml` are placeholders so that code can run. + +| term | sign | what it measures | +|---|---|---| +| energy cost | − | money paid for grid electricity this step, minus money earned exporting | +| CO₂ | − | grid electricity used × carbon intensity | +| Tier 1 unserved | − − | any critical load not supplied; must dominate every other term | +| Tier 2 / Tier 3 shed | − | non-critical load cut, priced far below Tier 1 | +| limit violation | − | battery or tank pushed past a safe limit | +| switching | − | equipment turned on or off this step, to stop chattering | + +*To agree:* whether a clipped action (the twin refused part of it) counts as a violation or +only as a reported difference; whether the perfect-knowledge benchmark and MPC are scored on +exactly this sum, so the comparison is fair. + +## 4. What the twin must return so we can compute all of the above + +Per step: served load per tier, grid import and export, PV used and curtailed, battery power, +electrolyser and fuel cell power, hydrogen produced and consumed, any limit clipping, and the +KPI increments. The manual's four KPIs (Self-Sufficiency Rate, Grid Dependency Ratio, Critical +Load Uptime, SoC Violation Rate) are computed by Simulations' KPI calculator; we read them, +we do not recompute them. + +## 5. What happens when the twin replaces the placeholder + +Nothing on our side, if the three lists hold. The training rig, the evaluation pipeline, the +safety wrapper and the dashboard all read the lists above, never the physics. That is the whole +point of drafting this now. diff --git a/AICONTROL/docs/results-file.md b/AICONTROL/docs/results-file.md new file mode 100644 index 0000000..0883813 --- /dev/null +++ b/AICONTROL/docs/results-file.md @@ -0,0 +1,131 @@ +# The AI → Business results file — draft v0.1 + +| | | +|---|---| +| **What this is** | The third handover in the Project Manual: "one file with a fixed set of columns: one row per controller, per scenario, per run. Business builds the euro comparison straight from it. Agree the columns before the first benchmark is run" | +| **Owner** | RL Evaluation seat (person 3). Reviewed by the lead 11 Sep 2026 from person 3's spreadsheet draft | +| **Next** | Encode as `aicontrol/evaluate/results_schema.py` (week 4), show to Business's Commercial Model Analyst, agree the open questions at the bottom, then freeze | +| **Format** | Parquet is the version of record; a CSV is written beside it so Business can double-click it. Rows are appended, never edited | + +## Rules that make the file usable by a script + +- Column names are lowercase `snake_case`, no spaces, no hyphens, and carry the unit where one + exists (`_kwh`, `_kg`, `_kw`). Fractions are stored as 0–1, never as percentages. +- One row is one run: one controller, on one scenario, with one seed. A controller is a *value* + in the `controller` column, not a row label, so the file grows to hundreds of rows. +- Controller names are fixed strings: `rule_based`, `mpc`, `perfect_knowledge`, `agent`, and + the Q1 stand-ins `random` and `do_nothing`. Business's S0 baseline (the hospital without the + hydrogen system) is not a controller but a plant configuration, so it is a *scenario* from + Simulations' library, appearing here as `scenario = no_hydrogen_` with + `controller = rule_based`. +- A column may be empty for a run (for example, `wandb_run` for a rule-based run). A column + that is empty for every run at the freeze is dropped. + +## Columns + +### Identity — which run this row is + +| column | type | meaning | +|---|---|---| +| `controller` | string | one of the fixed names above | +| `controller_version` | string | git commit for rule-based / MPC; model checkpoint tag for the agent | +| `scenario` | string | name of the scenario YAML file, e.g. `baseline_2018`, `blackout_72h`, `dark_december_week` | +| `data_year` | int | which year of data the run used | +| `held_out` | bool | true if the agent never saw this year in training; the manual's proof of generalisation | +| `run` | int | repetition index within a setup (1, 2, 3, …) | +| `seed` | int | the random seed of that repetition | +| `steps` | int | number of steps simulated | +| `step_minutes` | int | 5 | +| `twin_version` | string | version of the Simulations package that produced the physics | +| `parameter_book_version` | string | version of Energy Management's Parameter Book | +| `dataset_version` | string | version of the clean hospital dataset | +| `run_at` | timestamp | when the run finished (UTC) | +| `wandb_run` | string | Weights & Biases run id, if any | + +The three `*_version` columns are the manual's rule that "every result records which versions +produced it". + +### KPIs — the manual's four, plus money and carbon + +Names are fixed now; the exact equations come from Energy Management's Dispatch & Grid +Engineer and are applied by Simulations' KPI calculator. We copy the numbers; we do not +recompute them. + +| column | type | meaning | +|---|---|---| +| `self_sufficiency_rate` | fraction | share of load served without the grid | +| `grid_dependency_ratio` | fraction | share of load that came from the grid | +| `critical_load_uptime` | fraction | share of steps with Tier 1 fully served; must be 1.0 | +| `soc_violation_rate` | fraction | share of steps with the battery outside its window | +| `energy_cost` | float | net cost of grid electricity over the run (import cost minus export revenue) | +| `currency` | string | `USD` or `EUR`; see open questions | +| `co2_kg` | float | grid electricity used × carbon intensity, summed | + +### Energy totals — the evidence behind the KPIs, and what Business's register needs + +All summed over the run. + +| column | type | meaning | +|---|---|---| +| `load_kwh` | float | total hospital demand | +| `load_served_kwh` | float | demand actually supplied | +| `tier1_unserved_kwh` | float | **must be 0** in every run that counts | +| `tier2_shed_kwh` | float | essential load cut | +| `tier3_shed_kwh` | float | non-critical load cut | +| `pv_kwh` | float | solar available | +| `pv_curtailed_kwh` | float | solar thrown away | +| `grid_import_kwh` | float | | +| `grid_export_kwh` | float | | +| `grid_import_peak_kwh` | float | import during tariff peak hours | +| `grid_import_offpeak_kwh` | float | import during off-peak hours | +| `peak_import_kw` | float | highest grid import in any step; drives demand charges | +| `battery_charge_kwh` | float | | +| `battery_discharge_kwh` | float | | +| `battery_full_cycles` | float | throughput ÷ capacity; the wear proxy | +| `electrolyser_kwh` | float | electricity into the electrolyser | +| `electrolyser_offpeak_kwh` | float | the part of it in off-peak hours | +| `h2_produced_kg` | float | | +| `h2_consumed_kg` | float | | +| `fuel_cell_kwh` | float | electricity out of the fuel cell | +| `fuel_cell_heat_kwh` | float | recovered heat, if the twin models it; else empty | +| `chp_kwh` | float | electricity from the CHP plant | +| `electrolyser_starts` | int | on/off switches | +| `fuel_cell_starts` | int | on/off switches | +| `limit_violations` | int | steps where the twin clipped an action against a limit | +| `notes` | string | free text | + +Why the peak / off-peak and hydrogen columns: Business's cost register has seven rows marked +"ModelOutput / Missing" — off-peak share of hydrogen production, MWh shifted from peak to +off-peak, peak shaving, effective cost of electrolysis, cost per kWh from hydrogen, gas +displaced by fuel-cell heat, and the CO₂ change — and each is a ratio or difference of the +columns above between the no-hydrogen scenario, the `rule_based` rows and the `agent` rows. +The peak / off-peak definition is the tariff's, which Business and Energy Management own. + +## The companion file + +Business's register also asks for "simulation of net grid imports" as a series. That does not +fit one row per run. Each run therefore also writes its per-step table (the same quantities, +one row per 5-minute step) as Parquet under `results/runs/.parquet`. The summary file +above is the one they open; the per-step file is there when they need a chart. + +## Changes from person 3's spreadsheet draft + +- Added the `controller` header (the draft's column A had none) and made controller a column + value rather than a row label. +- Fixed `KPI_Grid_Dependecy_Ratio` → `grid_dependency_ratio`; dropped the `KPI_` prefix, + hyphens and capitals from every name so the file loads without renaming. +- Replaced `cost_eur` with `energy_cost` + `currency`, because the data source is ISO New + England, which prices in dollars, while the business case is in euros. +- Added identity columns (`held_out`, `data_year`, the three versions, `run_at`), the energy + totals and the switching counts. +- Kept `scenario`, `run`, `seed`, the four KPIs and `co2_kg` as drafted. + +## Open questions for Business (person 3 brings these) + +1. Currency: do they want dollars as recorded, or euros converted at a fixed rate they choose? +2. Peak / off-peak: their tariff hours, so the split columns match their model. +3. Are the seven register quantities computed by us (extra columns) or by them from these + columns? Either works; theirs keeps one owner per number. +4. What exactly their S0 baseline contains (no hydrogen only, or no battery either), so we can + ask Simulations for that scenario file. +5. Anything they need per run that is not here. diff --git a/AICONTROL/pyproject.toml b/AICONTROL/pyproject.toml new file mode 100644 index 0000000..1e8c1ee --- /dev/null +++ b/AICONTROL/pyproject.toml @@ -0,0 +1,17 @@ +[project] +name = "aicontrol" +version = "0.1.0" +description = "AI & Control cluster: placeholder environment, forecasting harness, training rig, evaluation pipeline, safety layer, dashboard" +requires-python = ">=3.12,<3.13" +dependencies = [ + "numpy>=2.0", + "gymnasium>=1.0", + "pyyaml>=6.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["aicontrol"] diff --git a/AICONTROL/tests/test_spaces.py b/AICONTROL/tests/test_spaces.py new file mode 100644 index 0000000..53ad339 --- /dev/null +++ b/AICONTROL/tests/test_spaces.py @@ -0,0 +1,34 @@ +"""The observation and action spaces build from the config and mean what they say.""" + +import numpy as np + +from aicontrol.env import spaces as S + + +def test_observation_layout_matches_config(): + cfg = S.load_config() + space = S.build_observation_space(cfg) + fixed = 4 + 12 # calendar (2 + 2) plus the twelve single-value slots + fc = cfg["forecast"] + forecast = len(fc["quantities"]) * len(fc["horizons_min"]) * len(fc["quantiles"]) + assert space.shape == (fixed + forecast,) + assert S.observation_size(cfg) == space.shape[0] + assert space.contains(space.sample()) + + +def test_action_space_and_shedding_level(): + cfg = S.load_config() + space = S.build_action_space(cfg) + assert space.shape == (len(S.ACTION_NAMES),) + assert space.contains(space.sample()) + assert S.shedding_level(np.array([0, 0, 0, 0.2]), cfg) == S.SHEDDING_NONE + assert S.shedding_level(np.array([0, 0, 0, 1.4]), cfg) == S.SHEDDING_TIER3 + assert S.shedding_level(np.array([0, 0, 0, 2.0]), cfg) == S.SHEDDING_TIERS_2_3 + assert S.shedding_level(np.array([0, 0, 0, 9.0]), cfg) == S.SHEDDING_TIERS_2_3 # clipped + + +def test_describe_lists_every_named_slot(): + cfg = S.load_config() + table = S.describe(cfg) + for name in ("P_PV", "SoC", "H2_level", "p_tank", "grid_on", "fcst_solar_60min", "fcst_tier3_1440min"): + assert f"`{name}`" in table diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..1685971 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,112 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## What this repository is + +ALLSHIFT is Team SHIFT's single shared repository (TU/e student team; an AI-managed hospital +hydrogen microgrid, Beth Israel Deaconess Boston as the case). It is public on Gitea +(`git.teamshiftenergy.com/pepe/ALLSHIFT`). Four kinds of content live side by side: + +- `docs/` — the documentation hub. Every project document exists here as a markdown report; + `docs/README.md` is the index and ends with the project-wide open-questions list. Retired + material goes to `superseded/` with a stated reason. +- `Shift Matlab Drive/` — a mirror of the team's MATLAB Drive: Simulink models and raw data. + The Simulink work belongs to the Simulations cluster (see + `docs/04-simulations/simulink-model-inventory.md`; the live framework needs R2026a). No + Python goes here. +- `website/` — the public Astro site, with its own `website/CLAUDE.md` and `pnpm` commands. + No Python goes here either. +- Root `pyproject.toml` + `uv.lock` — the one pinned Python environment for every cluster. + Cluster code lives in top-level folders registered as uv workspace members; `AICONTROL/` + (AI & Control cluster) is the first. + +## Commands (from the repository root) + +```bash +uv sync # create/refresh .venv from uv.lock (Python 3.12; ~1.3 GB, torch included) +uv run pytest # all tests (pytest testpaths = AICONTROL/tests) +uv run pytest AICONTROL/tests/test_spaces.py::test_action_space_and_shedding_level # one test +uv run python -m aicontrol.env.spaces # print the current observation/action layout as a table +uv lock # after editing dependencies; commit the updated uv.lock +``` + +Adding a dependency: edit `dependencies` in the root `pyproject.toml`, run `uv lock`, commit +`uv.lock`. Adding a cluster folder: give it its own `pyproject.toml` (hatchling, +`packages = [...]`), add the folder to `[tool.uv.workspace] members`, and add its package name +to the root `dependencies` and to `[tool.uv.sources]` as `{ workspace = true }`. + +Website: `cd website && pnpm dev | pnpm build | pnpm preview` — details in `website/CLAUDE.md`. + +## Architecture + +### Clusters and the three handovers + +The team leader's *Project Manual* (not in the repo) fixes four clusters and exactly three +written handovers between them: + +1. **Energy Management → Simulations:** the Parameter Book (a spreadsheet of every rating and + efficiency, versioned) and the clean 5-minute BIDMC dataset with Tier 1 / 2 / 3 load + assigned, as Parquet. +2. **Simulations → AI:** a Gymnasium environment. Simulations owns everything inside `step()` + — the twin's physics, the KPI calculator, and the benchmark controllers (rule-based, MPC on + forecasts, perfect knowledge; Pyomo + HiGHS). AI owns everything outside it: the agent, the + safety layer, evaluation, dashboard. Written jointly early in Q2, frozen before Christmas. +3. **AI → Business:** one results file, one row per controller × scenario × run, Parquet with a + CSV beside it. + +Fixed by the manual, not up for local decision: 5-minute timestep (105,120 steps per year); a +full simulated year must run in under a minute; Boston with ISO New England prices and carbon; +Tier 1 load is never shed; reward weights are agreed across clusters and never tuned by code. + +### `AICONTROL/` — the AI & Control cluster package + +- Everything is built from `AICONTROL/configs/env.yaml`, so the joint session with Simulations + can change a number without touching code. Values marked `PLACEHOLDER` there (plant sizes, + load bound, reward weights) are stand-ins owned by other clusters; keep the marker until the + owning cluster confirms a value. +- `aicontrol/env/spaces.py` is the single source of the interface shape. `observation_slots(cfg)` + defines the flat 64-value observation in order (calendar 4, present-state 12, forecasts + = quantities × horizons × quantiles = 48); `build_action_space` gives a `Box(4)`: `u_ele` + [0, 1], `u_fc` [0, 1], `u_batt` [−1, 1] with positive = discharge, `shed` [0, 2] rounded by + `shedding_level()` because Stable-Baselines3 cannot mix continuous and discrete actions. + Names follow the Simulator I/O sheet (`P_PV`, `SoC`, `H2_level`, `p_tank`, `price`, + `CO2_int`, `grid_on`). +- `AICONTROL/docs/interface-draft.md` is the handover document; keep its tables in step with + `spaces.py` (regenerate the observation table with `describe()`). +- The placeholder environment (next: `aicontrol/env/placeholder.py`) exposes exactly these + spaces with toy physics. It never gets better physics and is deleted the day the twin runs. + Do not build a competing simulator in this folder. +- Planned subpackages: `forecast/`, `train/`, `evaluate/`, `safety/`, `dashboard/`. Tooling is + fixed by the manual: LightGBM / scikit-learn / Optuna for forecasting, Gymnasium + + Stable-Baselines3 for RL, Weights & Biases for logging (not MLflow), SHAP + Streamlit. + +### Documentation conventions + +- A markdown report of a non-markdown source opens with a provenance table (Source, Format, + MD5, Status, Report generated). Reconstructed tables are labelled as such; observations that + go beyond the source are attributed to the audit, not the author. +- `docs/02-specifications/` is owned by the AI cluster. The RL state / action / reward + documents there are superseded by the manual's interface list but kept for the rationale + behind individual terms. +- `docs/01-project/ai-control-cluster-plan-2026-2027.md` is the AI cluster's plan: seats, + Q1 week by week, later blocks, open items for the leader. + +## Data: what actually exists + +Under `Shift Matlab Drive/Shift Matlab Drive/Energy_Managment/`: hospital load is the NREL +ComStock building `89993-0.parquet` (2018, 15-minute, simulated; `MA_hourly_load.csv` is a +mis-named numerical twin of it). Weather is NSRDB 2019, hourly, timestamps in UTC. PV is a +PVWatts 4 kW typical-year run that aligns with neither. There is no price, carbon-intensity, +outage or measured-load series. `hospital_communication_energy_system.csv` is synthetic noise; +derive nothing from it. Provenance and licences: `docs/06-data/dataset-inventory.md`. + +## Things to know + +- Formats: machine-made tables are Parquet, hand-written settings are YAML, documents are + Markdown. +- `.venv/`, `wandb/` run folders and `**/data/raw/` are gitignored; `uv sync` rebuilds the + environment from `uv.lock` on any machine. +- `website/CLAUDE.md` embeds live third-party keys that are due for rotation; do not copy them + anywhere. +- `Interview Questions-*.md` at the root is personal recruitment data, gitignored on purpose. diff --git a/docs/02-specifications/simulator-io-interface.md b/docs/02-specifications/simulator-io-interface.md index 3466ce5..5f21170 100644 --- a/docs/02-specifications/simulator-io-interface.md +++ b/docs/02-specifications/simulator-io-interface.md @@ -93,7 +93,7 @@ Set once per simulation run. |---|---|---|---| | `N_c_ele` | Number of cells | — | Usually difficult to find | | `mu_F` | Faraday efficiency | — | Fall back to literature average (~0.95–0.99 for PEM) | -| `P_ele_max` | Rated / max power | W | | +| `P_Electro_max` | Rated / max power | W | | | `P_ele_min` | Minimum operating power | W | Below this the electrolyser shuts off (efficiency cliff) | | `I_ele_min` | Minimum operating current | A | Alternative to `P_ele_min` | | `cal_H2` | H₂ production calibration factor | — | If we end up reading H₂ flow from measured data | @@ -104,13 +104,14 @@ Set once per simulation run. |---|---|---|---| | `N_c_fc` | Number of cells | — | | | `utilisation_fc` | H₂ utilisation | % | | -| `P_fc_max` | Maximum output power | W | **Project spec: 100 kW** | +| `P_FuelCell_max` | Maximum output power | W | **Project spec: 100 kW** | | `V_fc_min`, `V_fc_max` | Operating voltage range | V | | ### 1.3 Hydrogen tank | Symbol | Name | Unit | Notes | |---|---|---|---| +| `E_H2_max` | Maximum electrical energy capacity of the storage tank | J | | | `V_H2_max` | Maximum stored volume | L (or kg) | **Project spec: up to 200 kg total across two tanks** | | `V_H2_init` | Initial fill level | L (or kg) | | | `T_tank` | Operating temperature | K | TBD — isothermal assumption likely fine | @@ -129,9 +130,11 @@ Set once per simulation run. | Symbol | Name | Unit | Notes | |---|---|---|---| | `E_rated` | Rated energy capacity | Wh | | +| `E_battery_max` | Maximum energy capacity | Wh | | | `Q_rated` | Rated charge capacity | Ah | | -| `P_batt_charge_max` | Max charge power | W | | -| `P_batt_discharge_max` | Max discharge power | W | | +| `P_battery_max` | Max (dis)charge power (assuming both are identical - this is the current assumption in the Simulink Controller) | W | | +| `P_battery_charge_max` | Max charge power | W | | +| `P_battery_discharge_max` | Max discharge power | W | | | `SoC_init` | Initial state of charge | — (0–1) | | | `SoC_min`, `SoC_max` | Operating window | — (0–1) | E.g. 0.1–0.9 | | `eta_batt_ch`, `eta_batt_dis` | Round-trip efficiencies | — | Often split into charge & discharge | @@ -195,6 +198,8 @@ Carried forward to the next step. | Symbol | Name | Unit | |---|---|---| | `SoC(t)` | Battery state of charge | — (0–1) | +| `E_battery_SOC(t)` | Energy currently present in battery | J | +| `E_H2_SOC(t)` | Electrical Energy that can be currently extracted from the Hydrogen Storage Tank | J | | `H2_level(t)` | H₂ stored in tank | mol (or kg) | | `T_tank(t)` | Tank temperature | K (only if non-isothermal model) | | `p_tank(t)` | Tank pressure | bar (if modelled) | @@ -203,7 +208,7 @@ Carried forward to the next step. | Symbol | Name | Unit | |---|---|---| -| `P_PV_available(t)` | PV power available given irradiance | W | +| `P_PV(t)` | PV power available given irradiance | W | | `P_PV_used(t)` | PV power actually consumed | W | | `P_PV_curtailed(t)` | PV potential that was thrown away | W | | `P_ele(t)` | Actual electrolyser consumption | W | @@ -212,6 +217,12 @@ Carried forward to the next step. | `P_grid(t)` | Actual grid flow (signed) | W | | `P_load_served_crit(t)` | Critical load served | W | | `P_load_served_noncrit(t)` | Non-critical load served | W | +| `P_load_P(t)` | Power to be covered after PV (+ve = remaining power shortage, -ve = surplus to be used) | W | +| `P_load_PB(t)` | Power to be covered after PV and Battery (same convention as P_load_P) | W | +| `P_load_PBH(t)` | Power to be covered after PV, Battery and Hydrogen stroage tank (same convention as P_load_P(B)) | W | +| `P_battery_cont(t)` | Power amount the controller determines the battery should (dis)charge at (accounting for battery properties and demand) | W | +| `P_FuelCell_cont(t)` | Power amount the controller determines the fuel cell should provide (accounting for it's properties and demand) | W | +| `P_Electro_cont(t)` | Power amount the controller determines the electrolyser should extract (accounting for it's properties and demand) | W | ### 3.3 Mass flows (hydrogen) diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..b4b09b6 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,52 @@ +# Team SHIFT — one pinned Python environment for every cluster. +# +# The Project Manual asks that everyone technical works in one repository from one pinned +# Python environment. This file is that environment. The exact versions live in uv.lock; +# `uv sync` at the repository root creates .venv/ with all of them, on any machine. +# +# Each cluster keeps its code in its own top-level folder (AICONTROL/, ...) as a workspace +# member: add the folder to [tool.uv.workspace] members and its package name to +# dependencies, and `uv sync` installs it in editable mode for everyone. + +[project] +name = "shift" +version = "0.1.0" +description = "AI-managed hospital hydrogen microgrid — shared environment for all clusters" +requires-python = ">=3.12,<3.13" +dependencies = [ + # tables, maths, plots, tests — everyone + "numpy>=2.0", + "pandas>=2.2", + "pyarrow>=17", # Parquet, the agreed format for machine-made tables + "scipy>=1.14", + "matplotlib>=3.9", + "pyyaml>=6.0", # YAML settings and scenario files + "pytest>=8.3", + # Simulations cluster + "pvlib>=0.11", # solar array model + "pyomo>=6.8", # optimisation problems for the benchmark controllers + "highspy>=1.8", # the HiGHS solver + # AI cluster + "gymnasium>=1.0", # the environment interface + "stable-baselines3>=2.4",# ready-made RL algorithms (pulls in torch) + "lightgbm>=4.5", # main forecasting model + "scikit-learn>=1.5", # forecast baselines, sensor checks + "optuna>=4.0", # settings search + "wandb>=0.18", # experiment logging (Weights & Biases) + "shap>=0.46", # explanations + "streamlit>=1.39", # dashboard + # cluster packages from this repository (editable, see [tool.uv.sources]) + "aicontrol", +] + +[tool.uv] +package = false # the root is an environment, not a library + +[tool.uv.sources] +aicontrol = { workspace = true } + +[tool.uv.workspace] +members = ["AICONTROL"] + +[tool.pytest.ini_options] +testpaths = ["AICONTROL/tests"] diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..4938785 --- /dev/null +++ b/uv.lock @@ -0,0 +1,1751 @@ +version = 1 +revision = 3 +requires-python = "==3.12.*" +resolution-markers = [ + "sys_platform == 'win32'", + "sys_platform == 'emscripten'", + "platform_machine == 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