引用本文:于 群,张 敏,曹 娜,贺 庆,石 良,易 俊.基于模糊元胞自动机的电网连锁故障控制策略[J].电力自动化设备,2016,36(8):
YU Qun,ZHANG Min,CAO Na,HE Qing,SHI Liang,YI Jun.Grid cascading failure control based on fuzzy CA[J].Electric Power Automation Equipment,2016,36(8):
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基于模糊元胞自动机的电网连锁故障控制策略
于 群1, 张 敏1, 曹 娜1, 贺 庆2, 石 良1, 易 俊2
1.山东科技大学 电气与自动化工程学院,山东 青岛 266590;2.中国电力科学研究院,北京 100085
摘要:
为了减小电网连锁故障发生的频率及规模,考虑初始故障后元件及电网运行状态的变化和故障传递程度,结合模糊理论和元胞自动机理论构造基于模糊元胞自动机的电网故障模型,并基于潮流传输原理提出连锁故障演化过程中减少停电事故的切负荷控制规则和无功补偿控制规则,进而确定控制策略使用的时间、位置及调整量。基于IEEE 39节点系统进行停电事故仿真,仿真结果显示,采用控制策略后,电网承受100次故障的天数由4 300 d增加到7 000 d,同时一定次数的电网事故中产生较大损失负荷的故障次数明显减少,提高了电网的稳定性。
关键词:  电力系统  连锁故障  模糊规则  元胞自动机  自组织临界性  停电  控制
DOI:
分类号:
基金项目:国家电网公司大电网重大专项资助项目课题(SGCC-MPLG001-2012);国家电网公司2014年科技项目(融合在线状态信息的设备故障概率分析及电网薄弱环节识别方法研究)
Grid cascading failure control based on fuzzy CA
YU Qun1, ZHANG Min1, CAO Na1, HE Qing2, SHI Liang1, YI Jun2
1.College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China;2.China Electric Power Research Institute,Beijing 100085,China
Abstract:
In order to reduce the occurrence frequency and scale of grid cascading failure,a grid failure model based on fuzzy theory and CA(Cellular Automata) theory is constructed,which considers the operating condition change of elements and power grid after the initial failure,as well as the failure spreading degree. The control rules for load shedding and reactive power compensation during the failure evolution are proposed based on the power flow transmission principle to alleviate the power outage and the control strategy,including time,location and adjustment amount,is determined. A power outage of IEEE 39-bus system is simulated and results show that,with the proposed control strategy,the failure occurrence frequency is decreased from 100 times per 4 300 days to 100 times per 7 000 days while the times of failure resulting in larger load loss per a certain number of power failures is obviously reduced,which enhances the grid stability.
Key words:  electric power systems  cascading failure  fuzzy rules  cellular automata  self-organized criticality  outages  control

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