Setup

The Executor is responsible for managing the entire simulation process, from setting up the environment to executing agent and market interactions and ensuring grid constraints are met.

What Does the Executor Do?

The Executor acts as the central controller of the simulation, ensuring that:

  • All agents, markets, and grids operate in a synchronized manner.

  • Simulations follow the predefined schedule from the timetable.

  • Grid constraints are respected while maintaining a balance between supply and demand.

  • Results are stored properly for analysis.

Execution Workflow

The simulation follows a structured workflow:

  1. Setup Phase - Reads the scenario configuration and initializes relevant components. - Loads the timetable, scenario settings, and simulation parameters. - Establishes database connections and prepares storage locations for results.

  2. Execution Phase - Iterates over the timetable, processing each timestep sequentially. - At each timestep:

    • Agents make decisions based on available information.

    • Markets execute clearing mechanisms to determine energy prices and trades.

    • Grids are evaluated to ensure power flow feasibility.

    • If grid constraints are not met, a recalculation is triggered, reverting to a previous database state if necessary.

  3. Cleanup Phase - Saves the final simulation state and merges market and grid results. - Ensures all simulation data is properly stored for later analysis.

Key Components in Execution

  1. Agent Task Execution - Manages agent decision-making. - Runs agent-related processes in parallel for performance optimization.

  2. Market Task Execution - Handles bid/offer processing and market clearing. - Ensures smooth market operations across different clearing mechanisms.

  3. Grid Execution - Simulates power flows based on market results and agent actions. - Ensures the grid remains within operational constraints. - Iteratively recalculates in case of violations.

  4. Database Management - Stores and retrieves simulation data at each timestep. - Maintains backups to revert to previous states when needed.

By structuring execution this way, HAMLET ensures a modular, scalable, and realistic energy system simulation.