考虑连锁故障运行风险的机会约束最优潮流模型  

Optimal Power Flow Model Considering Operation Risk of Cascading Failure

作　　者：罗超[1] 林芳[2] 李子[3] 杨军[1] LUO Chao;LIN Fang;LI Zi;YANG Jun(School of Electrical Engineering, Wuhan University, Wuhan 430072, China;Central Southern China Electrical Power Design Institute, Wuhan 430071 ,China;State Grid Xiaogan Power Supply Company, Xiaogan 432000, China)

机构地区：[1]武汉大学电气工程学院,湖北武汉430072 [2]中南电力设计院,湖北武汉430071 [3]国网湖北孝感供电公司,湖北孝感432000

出　　处：《智慧电力》2018年第1期57-62,共6页Smart Power

基　　金：国家自然科学基金资助项目(51277135);国家电网公司科技项目(XT71-12-011)~~

摘　　要：在某些运行方式下,蓄意攻击或极端天气引发的电网局部元件故障可能诱发大规模连锁故障,进而导致大停电。合理的预防调度控制能有效提高灾变下电网的鲁棒性,降低连锁故障风险。基于机会约束模型建立了考虑连锁故障运行风险的最优潮流模型,并通过蒙特卡罗模拟和粒子群算法求解,获得满足连锁故障运行风险约束的最优开机方式。利用IEEE 39节点系统进行算例研究,验证了所建模型及解法的正确性。Once part or the whole of power system is exposed to some dangerous situations, such as intentional attacks or extreme weather conditions, the potential cascading failure is a severe threat to the power system. However, some feasible prevention control strategies can be used to enhance the system robustness to cope with the impact of the cascading failure. This paper proposes a chance constraint based optimal power flow model considering the impact of the cascading failure, and uses particle swarm optimization （PSO） algorithm and Monte Carlo method to search for the optimal solution, obtaining the optimal generation profile that satisfies the chance constraint on the risk level of the cascading failure. The case studies on IEEE 39-bus system illustrate the effectiveness of the proposed model.

关 键 词：连锁故障 运行风险 最优潮流 粒子群算法 

分 类 号：TM712[电气工程—电力系统及自动化]