Smart bidding strategy of the demand-side loads based on the reinforcement learning

With the rapid reform of the electricity market in China, a more practical and smart bidding strategy is needed for the demand-side loads when they become the market participants. Based on the different regulation characteristics, a piecewise regulation cost model is established for continuous or discrete regulation demand loads. Meanwhile, considering the factors besides market demand and historical data, the paper proposes the intelligent bidding strategy based on an adaptive reinforcement learning model. The flowcharts for the process of bidding strategy was also proposed. Finally, the simulation results show that the bidding strategy is simple and easy to operate, which will further improve the decision-making ability of the demand side loads.