促进负备用跨省调剂的华东电力调峰辅助服务市场设计

Design of Peak Regulation Auxiliary Service Market for East China Power Grid to Promote Inter-provincial Sharing of Negative Reserve

由于区外清洁能源来电不断增加、区内新能源发展迅猛、低谷负荷增长缓慢以及用电峰谷差逐年增加等影响,因此华东电网低谷负荷时段调峰困难问题日益凸显,迫切需要市场化机制促进调峰资源建设。文中重点介绍了华东电力调峰辅助服务市场设计的市场定位、基本原则、市场运营规则,并针对优先使用省内调峰资源的原因、统一边际电价出清机制、"谁引起,谁分摊"的分摊方式、各方收益以及与其他省级市场的衔接方式等关键问题进行了探讨。基于调峰困难典型日算例分析了华东调峰辅助服务市场的组织过程、结算方式和分摊原则;基于实际模拟调电分析了华东调峰辅助服务市场的运行效率、市场出清量价相关性。通过实际系统的仿真和实践运行表明,所设计的电力调峰辅助服务跨省调剂机制有效且有助于促进调峰资源在省间优化配置。

Due to the constant increase of incoming clean electricity from the outside region, the rapid development of new energy inside East China region, the slow growth of valley load, and the year-by-year increase of peak and valley differences in electricity consumption, the peak regulation difficulty during the valley period has been becoming an intractable problem and the market mechanism for sharing the peak regulation resources among different provinces is urgently needed to promote the construction of peak regulation resources. In this paper, the market positioning, basic principles and market operation rules of joint peak regulation auxiliary service market design for East China power grid are mainly introduced. Some key issues are discussed such as the reasons for giving priority to the use of peak sharing resources in the province, unified marginal price clearing mechanism, the allocation mode of 'who cause, who share', profits of all participants, and the interactive ways to other provincial markets. Based on the typical-day example of peak-regulation difficulty, the organization process, the settlement method and sharing principle of peak regulation auxiliary service market of East China power grid are analyzed. Based on the simulation of real market operation, the operation efficiency and the correlation between the clearing price and quantity are analyzed. Through the simulation of a real power system and practical operation, it is shown that the proposed inter-provincial sharing mechanism is effective and can help to promote the optimal allocation of peak regulation resources among provinces.