电网技术2017，Vol.41Issue(12)：3942-3950,9.DOI:10.13335/j.1000-3673.pst.2017.0787
考虑多源-荷-储协同优化的能源局域网系统能量管理研究
System Energy Management Research of Energy Local Area Network Based on Cooperative Optimization of Multiple Generation-Load-Storage
摘要
Abstract
This study proposes an effective modeling and optimization method for energy local area network (ELAN) taking co-optimization of source, load and battery energy storage system (BESS) into account. Considering operation conditions of various resources and their interactions, an energy management model for ELAN is proposed aiming at maximization of renewable energy utilization and minimization of overall system cost. The model is suitable for both real time pricing (RTP) and time of use (TOU) mechanisms. In ELAN, demand response (DR) and economic BESS dispatch are introduced to enhance self-coordination and self-balancing ability among different resources in the ELAN. If imbalance between supply and demand still exists after internal power exchange, trade between the ELAN and external grids are orderly optimized by considering different transaction prices and usage rights. Finally, three different optimization schemes are proposed where Lagrangian multiplier method and a co-evolutionary algorithm, called self-adaptive neighborhood search differential evolution, are employed. Experimental results show that the proposed model and algorithms are effective and efficient, realizing the goal of "intranet autonomy, network synergy and global optimization".关键词
能源互联网/能源局域网/混合可再生能源/协同优化/协同演化算法Key words
energy internet/energy local area network/hybrid renewable energy sources/cooperative optimization/cooperative evolutionary algorithm分类
信息技术与安全科学引用本文复制引用
张福兴,张涛,王锐,郑晓坤,张彦..考虑多源-荷-储协同优化的能源局域网系统能量管理研究[J].电网技术,2017,41(12):3942-3950,9.基金项目
国家自然科学基金资助项目(71571187,61403404).Project Supported by the National Natural Science Foundation of China (71571187, 61403404). （71571187,61403404）
