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启发式遗传算法在优化电力系统相角测量装置安装地点中的应用
引用本文:卢志刚,郝玉山,康庆平,董青,杨以涵.启发式遗传算法在优化电力系统相角测量装置安装地点中的应用[J].电网技术,1998,22(8):14-17.
作者姓名:卢志刚  郝玉山  康庆平  董青  杨以涵
作者单位:华北电力大学电力系,071003,保定
摘    要:文章应用遗传算法优化电力系统相角测量装置安装地点,使得相角测量装置安装点数最少,在中调能看到整个系统的电压矢量,即整个系统查可观测的。在遗传算法中引入启发式搜索策略,并采取在下一代中保持最优个体的操作,加快了寻优的速度并从概率上保证能寻得全部最优解,仿真结果说明了该算法的有效性。

关 键 词:遗传算法  启发式搜索  相角测量装置
修稿时间:1998年1月5日

HEURISTIC GENETIC ALGORTHM IN MINIMAL PHASOR MEASUREMENT UNIT PLACEMENT FOR ELECTRIC POWER SYSTEM
Lu Zhigang,Hao Yushan,Kang Qingping,Dong Qing,Yang Yihan.HEURISTIC GENETIC ALGORTHM IN MINIMAL PHASOR MEASUREMENT UNIT PLACEMENT FOR ELECTRIC POWER SYSTEM[J].Power System Technology,1998,22(8):14-17.
Authors:Lu Zhigang  Hao Yushan  Kang Qingping  Dong Qing  Yang Yihan
Abstract:Based on the genetic algorithm the arrangement of phasor measurement unit in electric power system is optimized, and the observation of the voltage phasors in power system are ensured. Using genetic algorithm with heuristic search and keeping optimal individuals in next generation accelerate the speed of searching optimal solutions and it is ensured that all of the optimal solutions in probability can be found out. The simulation results show that this algorithm is more effective than the standard genetic algorithm.
Keywords:Genetic algorithm  Heuristic search  Phasor measurement unit  
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