储能参与的电能量-调频市场双层交易决策模型OA

Energy storage(ES),as a new type of single-technology business entity with flexible regulation and rapid response capabilities,can simultaneously participate in multi-market trading such as electric energy and frequency regulation.To address the insufficient coordination of existing models,a bi-level optimization model was constructed for ES power stations to jointly participate in electric energy and frequency regulation markets.The upper level aimed to maximize revenue by optimizing bidding and scheduling strategies,while the lower level simulated market clearing with the goal of minimizing system electricity purchase costs.By introducing complementary slackness conditions and strong duality theory,the model was transformed into a mixed-integer linear programming problem,ensuring both solvability and scalability.Simulation results based on an IEEE 30-bus system demonstrated that the proposed strategy could reduce system electricity purchase costs by approximately 5.8%and increase the revenues of ES power stations by over 20%,thereby effectively enhancing resource allocation efficiency and economic benefits for market participants.This model can provide decision-making support and mechanism references for new entities such as ES power stations in multi-market trading.