智能电网中电能存储系统的容量优化  

Capacity optimization for power storage systems in smart grids

作　　者：蒋忠远[1] 张秀艳[1] 马子玥[1] 

机构地区：[1]西安电子科技大学机电工程学院,陕西西安710071

出　　处：《西安电子科技大学学报》2015年第6期106-112,共7页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61074035);教育部高等学校博士点基金资助项目(20090203110009);中央高校基本科研业务费专项资金资助项目(JB142001-15)

摘　　要：智能电网中的电能存储系统能够在系统故障修复期间持续供电,以避免大面积停电.然而,电能存储系统的成本与其容量成正比.使用有限容量Petri网建立智能电网传输系统的模型.通过对模型性质的分析,文中提出一个计算电能存储系统最小容量的方案.该方案不仅避免了因为系统参数间的不协调所导致的大面积停电;还为故障期间避免大面积停电提供一个必要的约束条件;最后,对方案进行了验证.实验结果表明,该方案能有效避免大面积停电且电能存储系统的容量也得到优化.The power storage systems in smart grids can continually supply electric power to avoid large area blackouts during fault repair periods. However, the costs of power storage systems are proportional to their capacity. In this paper, the models of power transmission systems are constructed by using finite capacity Petri nets. A scheme for computing the minimum capacity of power storage systems is proposed by analyzing the property of power transmission system models. This scheme can avoid large area blackouts caused by the incompatibility of system parameters. Moreover, it also proposes a constraint for large area blackout avoidance during fault repair periods. Finally, a case study is presented to verify the proposed scheme. The results show that the scheme can avoid large area blackouts and that the capacity of power storage systems are optimized.

关 键 词：PETRI网 监督控制 电能存储系统 容量优化 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]