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基于粒子群优化搜索的二级电压控制分区 被引量:3

Searching for Secondary Voltage Control Area Based on Particle Swarm Optimization
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摘要 电力系统的电压控制分区是一个非线性的大规模组合优化问题,使用常规方法难以得到理想的结果.现根据电压幅值对无功功率的灵敏度定义了电力系统各节点间的电气距离,在此基础上建立了电压分区的组合优化模型,将粒子群优化搜索方法用于已有的电压分区的优化模型.最后在IEEE 39节点测试系统上对该方法进行了验证,结果表明该方法有效、可行. The partitioning of electric power system for voltage control is a non-linear,large-scale combinatorial optimization problem.Conventional methods are not normally appropriate for such a problem.Based on the sensitivity of voltage to reactive power injection,this paper first defines the electrical distance between the two nodes in power system,and then based on this idea,a novel optimization model for partitioning of power system for voltage control is established,and search for particle swarm optimization methods have been used to optimize the partition of the voltage model.Finally the feasibility and efficiency of the proposed method are verified on the IEEE 39-bus system.
出处 《南京师范大学学报(工程技术版)》 CAS 2010年第2期1-5,共5页 Journal of Nanjing Normal University(Engineering and Technology Edition)
关键词 二级电压控制 分区控制 电气距离 粒子群优化算法 secondary voltage control partitioning control electrical distance particle swarm optimization algorithm
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