综合智慧能源2026，Vol.48Issue(5)：10-18,9.DOI:10.3969/j.issn.2097-0706.2026.05.002
储能参与的电能量-调频市场双层交易决策模型
Bi-level trading decision-making model for electric energy-frequency regulation markets
摘要
Abstract
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.关键词
储能系统/多市场交易/双层优化模型/混合整数线性规划/市场出清Key words
energy storage system/multi-market trading/bi-level optimization model/mixed-integer linear programming/market clearing分类
能源科技引用本文复制引用
郭秉霖,张竞宇,臧启勇..储能参与的电能量-调频市场双层交易决策模型[J].综合智慧能源,2026,48(5):10-18,9.基金项目
国家重点研发计划项目(2019YFE03110000,2019YFE03110003) （2019YFE03110000,2019YFE03110003）
国家电力投资集团科技项目(042500105290) National Key R&D Program Project(2019YFE03110000,2019YFE03110003) （042500105290）
State Power Investment Group's Science and Technology Project(042500105290) （042500105290）
