Research on New Energy Bidding Considering the Allocation of Auxiliary Service Costs

This paper put forward an optimization model to study the cost changes caused by the allocation of additional costs when new energy stations participate in market transactions under the joint clearing of the electricity market and the auxiliary service market. First, the errors caused by different new energy stations during operation are calculated to allocate responsibilities for each station, ensuring fair cost allocation. Then, an upper-and-lower layer model is constructed, where the upper-level model aims to minimize the total cost of the power system under the joint clearing of the electricity market and the auxiliary service market, and the lower layer model optimizes the new energy bidding strategy. Through the collaborative optimization of the upper-and-lower layer model, the economic efficiency and reliability of the power system and new energy are improved. Case studies verify the effectiveness and feasibility of the model.