Agent-Based Model to Simulate Multiple Delivery Products in Continuous Intraday Electricity Market

The increasing variable renewable energy sources in the power system have led to rise in the trading volumes in the electricity markets. In this paper, we extend an existing open source agent-based model for simulating the behavior and interactions of the renewable, consumer, thermal, and market operator agents in the continuous intraday (CID) electricity market by introducing the energy storage agents. Furthermore, the limitation of the earlier model to account for the CID trade of a single delivery product is relaxed by extending the model to consider the simultaneous trading of all the possible delivery products in a day. A realistic trading behavior is enabled by an user-defined parameter for the thermal and storage agents to choose the switching point in the trading timeline when the strategy of the trading agent navigates from increasing their profits by trading in the CID market to avoiding any imbalances by considering their physical constraints. Comparative case studies are performed to demonstrate the evolution of the trading behavior of the agents throughout the trading horizons for multiple delivery products with different switching instances.