Integrating demand response in regional electricity markets: An agent-based simulation
Abstract
This paper presents an agent-based simulation of regional electricity markets for renewable energy sources in Germany for the year 2030. We compare two regional markets - the northern and southern quarter of Germany. All agents are able to learn from earlier bids. Demand agents have the option to use load shifting to minimise their consumption costs. Our results show that regional markets are attractive to both generators and consumers, although the technology mix strongly affects agent behaviour and revenue. Additionally, regional trading leads to increased regional balancing of demand and supply.
