distributed Multi Agent Simulation

This repository contains a distributed multi agent simulation.

Requirements

• docker
• alternatively local python
• server with data from Open-Energy-Data-Server

Configuration

First, we need to configure the first lines of generate_simulation_stack.py to use the right structure database.

The best way to run the simulation is to configure compose-start.sh and run it. This creates a compose.yml which is then started.

A Grafana is started as well and is available on http://localhost:3001/d/VdwbNAX72/dmas

Agent Classes

DEM - Demand Agent

• creates demand for its area

RES - Renewable Agents for Wind and Solar

• bids renewables forecast

PWP - Powerplant Agent

• creates bidding with linked orders

MRK - Market Agent

• clears market with linked and exclusive orders

STR - Storage Agent

• creates bidding with exclusive orders

Scale-Out overview

Literature from Libraries

wind-python/windpowerlib

Sabine Haas; Uwe Krien; Birgit Schachler; Stickler Bot; kyri-petrou; Velibor Zeli; Kumar Shivam; Stephen Bosch

pvlib python: a python package for modeling solar energy systems.

William F. Holmgren, Clifford W. Hansen, and Mark A. Mikofski