| 基于共享免疫粒子群算法的电力系统无功优化 |
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| 引用本文： | 李宁,王林川,田军.基于共享免疫粒子群算法的电力系统无功优化[J].山西电力,2010(1):31-34. |
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| 作者姓名： | 李宁 王林川 田军 |
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| 作者单位： | 东北电力大学,吉林,吉林,132012 |
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| 摘 要： | 针对电力系统无功优化中的粒子群算法计算效率较低,而且易陷入局部最优解等问题,将共享免疫粒子群算法应用到无功优化中,该算法在进行初始化时,运用正交的思想,使得粒子分布均匀;并用记忆粒子和克隆选择来更新粒子,这样可以很好地保持优化过程中粒子群的多样性。经过算例计算证明,共享免疫粒子群算法与其他算法相比,能够及时跳出局部最优得到全局最优解,且收敛速度快、精度高。
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| 关 键 词： | 无功优化 免疫粒子群算法 小生境 共享机制 |
Reactive Power Optimization on Sharing Immunity Particle Swarm Algorithm in Electric Power System |
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| LI Ning,WANG Lin-chuan,TIAN Jun.Reactive Power Optimization on Sharing Immunity Particle Swarm Algorithm in Electric Power System[J].Shanxi Electric Power,2010(1):31-34. |
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| Authors: | LI Ning WANG Lin-chuan TIAN Jun |
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| Affiliation: | Northeast Dianli University;Jilin;Jilin 132012;China |
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| Abstract: | It is applied of the sharing immunity particle swarm algorithm in reactive power optimization due to the low efficiency and limited partial optimum solution of particle swarm optimization(PSO) in electric power system.Orthogonal principle is applied in the initialization of the algorithm,to make particles evenly distributed and renewed by memory particles and clone choice,and to keep the diversity of particles swarm during the optimization process.It is proved based on calculation that compared with other P... |
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| Keywords: | reactive power optimization immunity particle swarm optimization niche sharing mechanism |
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