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搜寻者优化算法在最优潮流中的应用
引用本文:陈维荣,张倩,王劲草,戴朝华.搜寻者优化算法在最优潮流中的应用[J].电力系统及其自动化学报,2009,21(1).
作者姓名:陈维荣  张倩  王劲草  戴朝华
作者单位:西南交通大学电气工程学院,成都,610031
基金项目:西南交通大学博士研究生创新基金 
摘    要:为实现电力系统经济运行,以有功网损最小为目标函数,建立电力系统最优潮流模型,将搜寻者优化算法(seeker optimization algorithm,SOA)应用到最优潮流计算中,选取发电机机端电压、变压器分接头位置和可投切电容器组等控制变量构建初始矩阵,对IEEE30、IEEE57标准系统进行测试,并与带自适应惯性权值的粒子群算法、带收敛因子的粒子群算法和全面学习的粒子群算法进行了比较.结果表明:SOA能够有效地搜索到最优解且具有较好的全局寻优能力,适应于电力系统最优潮流计算.

关 键 词:搜寻者优化算法  最优潮流  粒子群优化算法  电力系统

Application of Seeker Optimization Algorithm in Optimal Power Flow
CHEN Wei-rong,ZHANG Qian,WANG Jin-cao,DAI Chao-hua.Application of Seeker Optimization Algorithm in Optimal Power Flow[J].Proceedings of the CSU-EPSA,2009,21(1).
Authors:CHEN Wei-rong  ZHANG Qian  WANG Jin-cao  DAI Chao-hua
Affiliation:School of Electrical Engineering;Southwest Jiaotong University;Chengdu 610031;China
Abstract:In order to realize the economical operation of the power system,using the minimal active power losses as the objective function,an optimal power flow(OPF) model for the power system was established.Seeker optimization algorithm(SOA)was applied in solving the OPF problem.Generator voltages,transformer taps and capacitor tanks were chosen as the control variables to form the initial matrix.The IEEE30,IEEE57 standard systems were tested with SOA,and the results were compared with particle swarm optimizer with...
Keywords:seeker optimization algorithm(SOA)  optimal power flow(OPF)  particle swarm optimization(PSO)  electric power system  
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