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考虑单相短路电流控制的特高压受端电网限流优化
引用本文:赵康,王春义,杨冬,刘玉田.考虑单相短路电流控制的特高压受端电网限流优化[J].山东大学学报(工学版),2016,46(4):117-124.
作者姓名:赵康  王春义  杨冬  刘玉田
作者单位:1. 山东大学电气工程学院, 山东 济南 250061;2. 国网山东省电力公司, 山东 济南 250001;3. 国网山东省电力公司电力科学研究院, 山东 济南 250002
基金项目:国家电网公司科技资助项目(SGCC-MPLG020-2012);山东省电力公司科技资助项目(31390011391543)
摘    要:随着特高压输电容量的不断提高,受端电网的短路电流超标问题,特别是单相短路电流超标问题越来越严重。分析单相短路电流的超标原因及其专门限制措施,并对各种限流措施的灵敏度和经济性进行统一的定义和描述。针对限流措施的配置对象定义对象灵敏度的概念,基于对象灵敏度筛选限流措施配置对象,以避免维数灾。以限流方案的经济性和电网结构紧密性为目标函数,以单相短路电流和三相短路电流同时满足要求为主要约束条件,建立了特高压受端电网的综合限流优化模型,采用自适应混合PSO算法进行求解。济宁220 kV规划电网的仿真结果表明,所得限流优化方案能同时有效限制单相和三相短路电流。

关 键 词:全球能源互联网  单相短路电流  限流优化  PSO算法  特高压电网  限流灵敏度  
收稿时间:2016-07-01

Short circuit current limiting optimization of ultra-high voltage receiving-end power grid
ZHAO Kang;WANG Chunyi;YANG Dong;LIU Yutian.Short circuit current limiting optimization of ultra-high voltage receiving-end power grid[J].Journal of Shandong University of Technology,2016,46(4):117-124.
Authors:ZHAO Kang;WANG Chunyi;YANG Dong;LIU Yutian
Affiliation:1. School of Electrical Eneering, Shandong University, Jinan 250061, Shandong, China; 2. State Grid Shandong Electric Power Company, Jinan 250001, Shandong, China;3. Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan 250002, Shandong, China
Abstract:With the rapid construction of ultra-high voltage(UHV)power grid in China, the UHV transmission capacity was continuously improved, which could cause the exceeding of short circuit current(SCC), especially single-phase short circuit current(SSCC). The reasons of exceeding SSCC and dedicated limiting measure for SSCC were analyzed. Then, the limiting effectiveness and economy cost of different limiting measures were described as a unified form. An objective sensitity index was defined for limiting measure configuration object, which could be used to filter numerous configuration objects to avoid dimension disaster. With the economy cost and grid structure tightness as objective functions, a comprehensive limiting optimization model for ultra-high voltage receiving-end power system was founded. The self-adpative hybrid particle swarm optimization(PSO)algorithm was used to find the optimal limiting scheme. The case study of Jining region power system validated the effectiveness of the proposed optimization model.
Keywords:ultra-high voltage grid  limiting sensitivity  limiting optimization  PSO algorithm  global energy internet  SCC  
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