基于最优潮流的停电模型及自组织临界性分析  

Blackout Model Based on OPF and Its Self-organized Criticality

作　　者：梅生伟[1] 翁晓峰[1] 薛安成[1] 何飞[1] 

机构地区：[1]清华大学电机系电力系统国家重点实验室,北京市100084

出　　处：《电力系统自动化》2006年第13期1-5,32,共6页Automation of Electric Power Systems

基　　金：国家重点基础研究发展计划(973计划)资助项目(2004CB217900)国家自然科学基金资助项目(50595411;50525721)。~~

摘　　要：在分析现有停电模型不足的基础上,利用自组织临界理论和最优潮流(OPF),建立了电网连锁故障和停电模拟模型。该模型包含反映电网连锁故障的快动态以及电力系统发展的慢动态2个过程。IEEE 30节点系统的仿真表明:该模型的快动态能够模拟连锁故障过程,并从微观上揭示了快动态系统的自组织临界性;此外,以系统总负荷需求和网络总传输容量比值作为特征量,可从宏观上初步揭示互联电网的自组织临界性;进一步,提升线路输送能力可以有效地防止大规模停电灾变事故的发生,降低停电风险。Based on the essence of self-organized criticality and optimal power flow （OPF）, a model is developed to capture the cascading failures and blackouts in power systems, after analysis on the limitations of the existing blackout models. The proposed model contains two dynamics, one is the fast dynamics which simulates the serial blackouts in power system, the other is the slow dynamics which reflects the growth of the power system. Simulations in an IEEE 30-bus system with the proposed model show that the process of the cascading and blackout can be captured by the fast dynamics, together with the self-organized criticality of fast dynamics with respect to the micro-scale. In addition, the macro-scale of self-organized criticality of the power system can be revealed from the viewpoint of the total load demand vs. the total network transfer capability. Furthermore, improving the transmission ability of the network can effectively prevent large-scale disastrous blackout and reduce the risk of power failure. This work is supported by Special Fund of the National Basic Research Program of China （No. 2004CB217900） and National Natural Science Foundation of China （No. 50595411, 50525721）.

关 键 词：停电模型 连锁故障 最优潮流(OPF) 停电分布 自组织临界 

分 类 号：TM711[电气工程—电力系统及自动化]