计及负荷随机性含风电电力系统TCSC多目标优化配置  

Multi-objective optimal allocation of TCSC for a power system for wind power and load randomness

作　　者：刘文丽[1] 张涛[1] 杨晓雷 陶欢 LIU Wenli;ZHANG Tao;YANG Xiaolei;TAO Huan(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;State Grid Jiaxing Power Supply Company,Jiaxing 314033,China)

机构地区：[1]三峡大学电气与新能源学院,湖北宜昌443002 [2]国网嘉兴供电公司,浙江嘉兴314033

出　　处：《电力系统保护与控制》2023年第5期58-69,共12页Power System Protection and Control

基　　金：国家自然科学基金项目资助(52007103);国网浙江省电力有限公司科技项目资助(5211JX1900CX)。

摘　　要：为实现可用输电能力和电压稳定的双重改善,提出一种考虑风电和负荷随机性的灵活交流输电系统(flexible AC transmission system,FACTS)多目标优化配置方法。首先推导基于拉丁超立方、k-means聚类和蒙特卡洛抽样三者相结合的系统场景生成技术。然后以区域间可用输电能力和电压稳定指标L为目标,建立晶闸管控制串联电容器(thyristor-controlled series capacitor,TCSC)多目标优化配置模型。最后通过增加混沌初始化和变惯性权重设置改进多目标粒子群算法以求解所建模型。基于改进的IEEE30节点系统,对比了最可能发生的系统场景配置TCSC前后的非劣解集和模糊最优解,分析了极端系统场景配置TCSC前后的优化结果。仿真结果表明,所提场景处理方法、多目标优化模型和改进算法在解决相关问题上具有有效性。To gain improvement in both available transmission capacity(ATC)and voltage stability,a flexible AC transmission system(FACTS)multi-objective optimization allocation method considering wind power and load randomness is proposed.First,based on the combination of Latin hypercube,k-means clustering and Monte Carlo sampling,a method for generating system scenarios is proposed.Then,a thyristor-controlled series capacitor(TCSC)multi-objective optimal allocation model with ATC and voltage stability L indicator as objective functions is established.Finally,the multi-objective particle swarm algorithm(MOPSO)is improved by adding chaos initialization and variable inertia weight setting to analyze the model.Based on a modified IEEE30 node system,the non-inferior solutions and fuzzy optimal solutions before and after TCSC allocation of the system scenario with the greatest occurrence probability are compared.The optimization results before and after TCSC allocation of the extreme system scenario are analyzed.The simulation results show that the proposed scenario processing method,the multi-objective optimization model and the improved algorithm are effective in solving related problems.

关 键 词：风电 负荷随机性 场景 TCSC 可用输电能力 电压稳定指标L 

分 类 号：TM614[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]