An Agent-Based Approach to Modeling Electricity Spot Markets

摘要: Abstract In this paper an agent-based approach characterizing auction-style electricity spot market dynamics is proposed. This method captures the learning and decisionmaking of rational agents which cannot be modeled using a supply-demand equilibrium approach. Because auctions are repeated, agent improves its decisions through time or adaptive learning. Furthermore, instead elaborately searching for optimal bidding strategy each agent, some sensible practical strategies assigned to agents. strategic behavior depends highly on information available before decision made. The model mainly focuses understanding role by generators and, accordingly, their in market.