Add FlexMeasures plugins, USEF protocol, and Cariflex simulator
- flexmeasures-entsoe: ENTSO-E data plugin - flexmeasures-weather: Weather data plugin - USEF Flex Trading Protocol PDF (2.4MB) - Cariflex simulator (publishes to Redis) - Dashboard Grafana updated with correct InfluxDB queries - All tools extracted in /tools/
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Eric F
137
scripts/cariflex_simulator.py
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137
scripts/cariflex_simulator.py
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#!/usr/bin/env python3
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"""
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Cariflex Simulator - Publishes simulated EV charging data to Redis.
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Simulates 40 assets: 10 PV, 10 Battery, 10 EV Charger, 10 EV V2G
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"""
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import redis
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import json
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import time
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import random
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import math
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from datetime import datetime, timezone
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# Redis connection
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r = redis.Redis(host='flexmeasures-redis', port=6379, db=0, decode_responses=True)
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# Asset configurations
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ASSETS = {
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# PV panels (production)
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"pv_{:02d}": {"type": "pv", "unit": "kW", "min": 0, "max": 5, "base": 2.5},
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# Batteries (storage)
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"bat_{:02d}": {"type": "battery", "unit": "kWh", "min": 10, "max": 100, "base": 50},
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# EV Chargers (consumption)
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"chg_{:02d}": {"type": "ev_charger", "unit": "kW", "min": 0, "max": 22, "base": 11},
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# EVs (V2G - bidirectional)
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"ev_{:02d}": {"type": "ev_v2g", "unit": "kW", "min": -11, "max": 11, "base": 0},
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}
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def generate_value(asset_config, hour):
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"""Generate a realistic value based on asset type and time of day."""
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cfg = asset_config
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base = cfg["base"]
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if cfg["type"] == "pv":
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# Solar production: peaks at noon
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solar_factor = max(0, math.sin((hour - 6) * math.pi / 12)) if 6 <= hour <= 18 else 0
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noise = random.gauss(0, 0.5)
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value = base * solar_factor * 2 + noise
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elif cfg["type"] == "battery":
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# SOC: slowly varies throughout the day
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variation = 20 * math.sin(hour * math.pi / 12)
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noise = random.gauss(0, 3)
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value = base + variation + noise
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elif cfg["type"] == "ev_charger":
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# Charging: more active during day and evening
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if 8 <= hour <= 22:
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factor = random.uniform(0.3, 1.0)
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else:
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factor = random.uniform(0, 0.2)
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noise = random.gauss(0, 1)
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value = cfg["max"] * factor + noise
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elif cfg["type"] == "ev_v2g":
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# V2G: charges at night, discharges during peak
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if 0 <= hour <= 6:
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factor = random.uniform(0.3, 0.8) # charging
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elif 17 <= hour <= 21:
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factor = random.uniform(-0.6, -0.2) # discharging
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else:
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factor = random.uniform(-0.1, 0.1)
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noise = random.gauss(0, 0.5)
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value = cfg["max"] * factor + noise
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else:
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value = base + random.gauss(0, 1)
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return round(max(cfg["min"], min(cfg["max"], value)), 2)
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def main():
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print("🚗 Cariflex Simulator - Publishing to Redis")
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print(f" Assets: 40 (10 PV, 10 Bat, 10 Chg, 10 EV)")
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print(f" Redis: flexmeasures-redis:6379/0")
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print()
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# Test Redis connection
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try:
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r.ping()
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print("✅ Redis connected")
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except redis.ConnectionError:
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print("❌ Redis connection failed")
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return
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# Publish loop
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iteration = 0
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while True:
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now = datetime.now(timezone.utc)
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hour = now.hour
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timestamp = now.isoformat()
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# Publish each asset's data
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for template, cfg in ASSETS.items():
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for i in range(1, 11):
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asset_id = template.format(i)
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value = generate_value(cfg, hour)
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# Create data packet
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data = {
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"asset_id": asset_id,
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"type": cfg["type"],
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"value": value,
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"unit": cfg["unit"],
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"timestamp": timestamp,
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"iteration": iteration
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}
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# Publish to Redis (list per asset)
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key = f"cariflex:asset:{asset_id}"
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r.lpush(key, json.dumps(data))
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r.ltrim(key, 0, 99) # Keep last 100 values
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r.expire(key, 3600) # 1h TTL
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# Also publish to a pub/sub channel
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r.publish("cariflex:data", json.dumps(data))
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# Publish aggregate data
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aggregate = {
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"timestamp": timestamp,
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"total_pv_kw": sum(generate_value({"type": "pv", "base": 2.5, "min": 0, "max": 5}, hour) for _ in range(10)),
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"total_battery_soc": sum(generate_value({"type": "battery", "base": 50, "min": 10, "max": 100}, hour) for _ in range(10)) / 10,
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"total_charger_kw": sum(generate_value({"type": "ev_charger", "base": 11, "min": 0, "max": 22}, hour) for _ in range(10)),
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"total_ev_v2g_kw": sum(generate_value({"type": "ev_v2g", "base": 0, "min": -11, "max": 11}, hour) for _ in range(10)),
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"flexibility_available_kw": 0 # Will be calculated
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}
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aggregate["flexibility_available_kw"] = round(
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abs(aggregate["total_ev_v2g_kw"]) +
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abs(aggregate["total_charger_kw"] * 0.3) + # 30% of charger can be modulated
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abs(aggregate["total_battery_soc"] * 0.5), # 50% of battery capacity
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2
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)
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r.set("cariflex:aggregate", json.dumps(aggregate), ex=300)
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iteration += 1
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if iteration % 10 == 0:
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print(f" 📊 Iteration {iteration}: published {40} assets to Redis")
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time.sleep(10) # Publish every 10 seconds
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if __name__ == "__main__":
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main()
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