电力工程技术2025，Vol.44Issue(3)：53-63,11.DOI:10.12158/j.2096-3203.2025.03.005
计及风光不确定性的现货-调频市场联合出清策略
Joint clearing strategy in electricity spot market and frequency regulation market considering the uncertainty of wind and solar
摘要
Abstract
In order to face the challenge of large-scale integration of new energy into the power grid with uncertainty to the traditional electricity market,and to address the problems of long time scales and low returns of new trading entities in the clearing strategy of the traditional electricity market,a clearing strategy considering the uncertainty of wind-solar-thermal-storage combined power generation system is proposed to participate in the joint trading of electricity spot market and frequency regulation auxiliary service market.Firstly,the sample scenes are processed using Latin hypercube sampling and Kantorovich distance reduction to generate typical wind solar power output scenarios.A wind-solar-thermal-storage combined power generation system with the goal of minimizing power generation costs is proposed to participate in the joint trading clearing strategy of electricity spot market and frequency regulation auxiliary service market,taking the generated typical wind and solar output scenarios as the research object.The model is solved by alternating direction method of multipliers(ADMM).Finally,a corresponding mathematical model is built in the IEEE 39-node system,and simulation verification is carried out using wind and solar data from a certain location in northwest China as an example.The results show that the strategy can allocate energy output reasonably and improve energy utilization efficiency and the profits of various trading entities.The results verify the effectiveness of the strategy.关键词
风光不确定性/Kantorovich距离削减/拉丁超立方抽样/电力现货市场/调频辅助服务市场/联合出清策略Key words
uncertainty of wind and solar/Kantorovich distance reduction/Latin hypercube sampling/electricity spot market/frequency regulation market/joint clearance strategy分类
动力与电气工程引用本文复制引用
李建林,张梦圆,王茜,彭禹宸,李璟延..计及风光不确定性的现货-调频市场联合出清策略[J].电力工程技术,2025,44(3):53-63,11.基金项目
国家自然科学基金资助项目(52277211) （52277211）
北京市自然科学基金资助项目(L242008) （L242008）
