MRL-Based Model for Diverse Bidding Decision-Makings of Power Retail Company in the Wholesale Electricity Market of China

Power retail companies in the electricity market make profits through buying and selling power energy wholesale markets, respectively. Traditionally, they are assumed to bid with same objective, i.e., maximize profit. This paper proposes a multiagent reinforcement learning (MRL)-based model simulate diverse bidding decision-making concerning various operation objectives profit-sharing modes of China’s market, which contributes more realistic modeling simulation companies. Specifically, three types five mathematically formulated. After that, complete optimization is established, case study 30 carried out. The results show that proposed method can effectively companies, further assist their contribute analysis simulations market.