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考虑电能交互的冷热电区域多微网系统双层多场景协同优化配置 被引量:86

Bi-level Multiple Scenarios Collaborative Optimization Configuration of CCHP Regional Multi-microgrid System Considering Power Interaction Among Microgrids
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摘要 多个冷热电联供型微网通过区域配电网进行连接构成多微网系统,可有效提高区域冷热电多微网系统的总体运行效益。提出一种考虑电能交互的冷热电区域多微网系统双层多场景协同优化配置方法。考虑风光出力的不确定性和相关性,提出基于非参数核密度估计和Frank-Copula函数的风光出力场景生成方法,得到典型日风光出力序列;以多场景下多微网系统年化总投资成本、维护成本与运行成本综合最低为目标,建立多微网系统规划与运行相结合的双层多场景协同优化配置模型;基于某地实测数据生成典型日风光出力场景,通过算例分析多微网系统中设备配置、设备出力和负荷平衡情况,结果表明,考虑电能交互会影响多微网系统中设备出力,并能够降低多微网系统的年化总成本,验证了所提配置方法的有效性和经济性。 As several combined cooling,heating,and power(CCHP)microgrids are connected through a regional distribution network to form a multi-microgrid system,which can effectively improve the total operation efficiency of the regional CCHP multi-microgrid system.This paper proposed a bi-level multi-scenario collaborative optimization configuration method for a CCHP regional multi-microgrid system with the consideration of power interaction among microgirds.Considering the uncertainty and correlativity of the wind and solar power output,it proposes a method of scenario generation of wind and solar power output based on the non-parametric kernel density estimation and Frank-Copula function to obtain the typical daily wind and solar power output.A bi-level multi-scenario collaborative optimization configuration model for the CCHP multi-microgrid was established to minimize the total cost of annual investment,maintenance and operation.The typical daily scenarios of wind and solar power output were generated based on actual measured data.In the case study,the equipment configuration,the power output of equipment and the load balance in the multi-microgrid system were analyzed.The results show that the power output of equipment is influenced and the total cost of multi-mircogrid is reduced with the power interaction among microgrids,which verify that the proposed configuration method is effective and economic.
作者 林顺富 刘持涛 李东东 符杨 LIN Shunfu;LIU Chitao;LI Dongdong;FU Yang(College of Electrical Power Engineering,Shanghai University of Electric Power,Yangpu District,Shanghai 200090,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2020年第5期1409-1421,共13页 Proceedings of the CSEE
基金 国家自然科学基金项目(51977127) 上海市科学技术委员会资助项目(19020500800) 上海市人才发展资金(2018004).
关键词 电能交互 冷热电联供 区域多微网系统 协同优化 相关性 场景生成 power interaction combined cooling,heating and power(CCHP) regional multi-microgrid system coordination optimization correlativity scenario generation
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