data/environments.json

{
  "VVC (Volt-VAR Control)": {
    "id": "vvc",
    "description": "Volt-VAR Control environment using OpenDSS simulation with capacitors, regulators, and batteries",
    "features": [
      "Capacitor switching",
      "Voltage regulator tap control",
      "Battery dispatch",
      "Real-time OpenDSS co-simulation"
    ],
    "action_space": "Hybrid (Discrete + Continuous)",
    "observation": "Bus voltages, power flows, device states, load profiles",
    "reward": "Power loss minimization + voltage violation penalty + control cost",
    "systems": {
      "13Bus": {
        "name": "IEEE 13-Bus",
        "buses": 13,
        "capacitors": 2,
        "regulators": 3,
        "batteries": 2,
        "agents": 6,
        "episode_length": 24,
        "action_type": "Discrete (33 levels)",
        "description": "Small-scale distribution feeder for rapid prototyping"
      },
      "34Bus": {
        "name": "IEEE 34-Bus",
        "buses": 34,
        "capacitors": 2,
        "regulators": 2,
        "batteries": 2,
        "agents": 6,
        "episode_length": 360,
        "action_type": "Discrete (33 levels)",
        "description": "Medium-scale feeder with long rural laterals"
      },
      "123Bus": {
        "name": "IEEE 123-Bus",
        "buses": 123,
        "capacitors": 4,
        "regulators": 4,
        "batteries": 4,
        "agents": 8,
        "episode_length": 24,
        "action_type": "Discrete (33 levels)",
        "description": "Large-scale unbalanced distribution system"
      },
      "8500Node": {
        "name": "IEEE 8500-Node",
        "buses": 8500,
        "capacitors": 9,
        "regulators": 4,
        "batteries": 4,
        "agents": 12,
        "episode_length": 24,
        "action_type": "Discrete (33 levels)",
        "description": "Largest IEEE test feeder for scalability testing"
      }
    }
  },
  "SmartGrid": {
    "id": "smartgrid",
    "description": "Modular smart grid environment with PV integration and curriculum learning support",
    "features": [
      "PV curtailment control",
      "Curriculum learning phases",
      "Modular component architecture",
      "Configurable PV penetration levels"
    ],
    "action_space": "Hybrid (Discrete + Continuous)",
    "observation": "Voltage profiles, PV generation, load demand, weather data",
    "reward": "Power loss + PV utilization + voltage quality",
    "systems": {
      "34Bus_PV_Conservative": {
        "name": "34-Bus PV Conservative",
        "buses": 34,
        "pv_capacity_kw": 720,
        "pv_penetration": "40.7%",
        "pv_systems": 3,
        "episode_length": 360,
        "action_type": "Continuous",
        "description": "Low PV penetration scenario for baseline comparison"
      },
      "34Bus_PV_Optimized": {
        "name": "34-Bus PV Optimized",
        "buses": 34,
        "pv_capacity_kw": 900,
        "pv_penetration": "50.8%",
        "pv_systems": 3,
        "episode_length": 360,
        "action_type": "Continuous",
        "description": "Balanced PV deployment with optimized placement"
      },
      "34Bus_PV_Aggressive": {
        "name": "34-Bus PV Aggressive",
        "buses": 34,
        "pv_capacity_kw": 1080,
        "pv_penetration": "61.0%",
        "pv_systems": 3,
        "episode_length": 360,
        "action_type": "Continuous",
        "description": "High PV penetration stress test scenario"
      }
    }
  },
  "Stackelberg Game": {
    "id": "stackelberg",
    "description": "Leader-follower game between utility company and consumers with TOU pricing",
    "features": [
      "UC vs Consumer game structure",
      "Time-of-Use pricing",
      "ESS management",
      "N-1 security analysis"
    ],
    "action_space": "Continuous",
    "observation": "Market signals, load profiles, DER status, price history",
    "reward": "UC: revenue maximization; Consumer: cost minimization + comfort",
    "systems": {
      "13Bus": {
        "name": "IEEE 13-Bus Stackelberg",
        "buses": 13,
        "uc_agents": 1,
        "consumer_agents": 8,
        "total_agents": 9,
        "episode_length": 24,
        "action_type": "Continuous",
        "description": "Small-scale market simulation with 8 consumer zones"
      }
    }
  },
  "DSR": {
    "id": "dsr",
    "description": "Distribution System Restoration environment with fault recovery and action masking",
    "features": [
      "Dynamic network topology",
      "Action masking for invalid operations",
      "Load priority levels",
      "Fault scenario generation"
    ],
    "action_space": "Discrete (with action mask)",
    "observation": "Network topology, DG status, PV output, load priorities, switch states",
    "reward": "Load restoration + voltage quality - overload penalty",
    "systems": {
      "123Bus": {
        "name": "IEEE 123-Bus DSR",
        "buses": 123,
        "diesel_generators": 7,
        "pv_systems": 9,
        "switches": 20,
        "episode_length": 15,
        "action_type": "Discrete (with mask)",
        "description": "Large-scale fault recovery with 7 DGs and 9 PVs"
      }
    }
  }
}