摘要
为促进新型电力系统中新能源的消纳,充分发挥风电、光伏和储能的互补效益,研究风光储协同规划具有重要意义。在考虑风电、光伏出力的不确定性和相关性的前提下,基于回代消除(Simultaneous Backward Reduction,SBR)算法缩减场景,得到典型运行场景。综合兼顾系统的经济性和安全性,建立了多目标规划模型,并采用层次分析法将多目标转化为单目标进行求解,同时建立减碳效益评价指标。最后通过温州市某供区输电网的算例分析,验证了所提规划方法的有效性。相比不考虑风光相关性的规划模型,风光储协同规划模型能够使系统年投资运行成本降低9056.527万元,减碳效益增加8.979万t,年新能源消纳率提高0.64%。
In order to promote the consumption of new energy in the new power system and give full play to the complementary benefits of wind,photovoltaic and storage,it is of great significance to study collaborative planning of wind,photovoltaic and storage.In this paper,first considering the uncertainty and correlation of wind and photovoltaic power output,reduce the scenarios based on the Scenario⁃Based Reduction(SBR)algorithm to obtain typical operating scenarios.Secondly,taking into account both the economy and security of the system comprehensively,a multi⁃objective planning model is established.Based on the analytic hierarchy process,the multiple⁃objective model is transformed into single objective for solutions,and the evaluation index of carbon reduction benefit is established.Finally,the effectiveness of the proposed planning method is verified through a case study of a transmission network in a certain supply area in Wenzhou.Compared to the planning model that does not consider the correlation between wind and solar power,the wind⁃photovoltaic⁃storage coordinated planning model proposed in this paper can reduce the system′s annual investment and operational costs by 90.56527 million yuan,increase carbon reduction benefits by 89.79 thousand tons,and improve the annual renewable energy consumption rate by 0.64%.
作者
任小勇
周陈龙
高强
REN Xiaoyong;ZHOU Chenlong;GAO Qiang(State Grid Wenzhou Yongjia Electric Power Supply Company,Wenzhou 325100,China;State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007,China)
出处
《内蒙古电力技术》
2025年第4期11-20,共10页
Inner Mongolia Electric Power
基金
国家自然科学基金企业创新发展联合基金项目“新型电力系统弹性评估与提升的基础理论和方法研究”(U23B6006)。
关键词
风光出力相关性
场景生成
风光储协同规划
新能源消纳
减碳效益
correlation of wind and photovoltaic power output
scene generation
wind⁃photovoltaic⁃storage
collaborative planning
new energy consumption
carbon reduction benefits
