丘文千
QIU Wen-qian(Zhejiang Electric Power Design Institute

• 1:浙江省电力设计院

摘要(Abstract)：

提出满足不同应用要求的短路限流阻抗优化配置模型,以系统短路电流方程为约束条件,以限流阻抗的取值范围和系统短路电流不超限、节点短路电流平方和最小、接入的限流阻抗代数和最小为优化目标,满足实际应用的要求。运用粒子群优化算法、遗传算法、基于广义逆与变换的优化方法以及由其构成的混合优化算法求解优化模型,提出和实现按Kuhn-Tucker条件判别优化解的最优性,通过工程实例验证了算法的有效性和实用性。
The allocation optimization models of short-circuit current limiting impedances are developed to meet the demands for different applications.The models take the system short-circuit current equations as constraints to meet the optimization objective in which the value range of current-limiting impedances and system short-circuit current are within the limits and it achieves the minimum square sum of the node short-circuit currents or the minimum algebra sum of the current-limiting impedances so as to meet the needs of practical applications.Particle swarm optimization(PSO) algorithm,genetic algorithm(GA),optimization algorithm based on generalized inverse matrix and function transform(OBGT) and the hybrid optimization algorithm combined with them are used to solve the optimization models.The method in which the optimality of model solution is judged based on the Kuhn-Tucker conditions is presented and carried out.Case studies have proved the validity and practicability of the algorithms.

关键词(KeyWords)： 电力系统分析;短路电流;短路限流阻抗;优化算法;最优性判别
power system analysis;short-circuit current;short-circuit current-limiting impedances;optimization algorithm;optimality judgment

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 丘文千
QIU Wen-qian(Zhejiang Electric Power Design Institute

DOI: 10.19585/j.zjdl.2012.06.001

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