| 改进粒子群算法的无功优化 |
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| 引用本文： | 杨龑亮. 改进粒子群算法的无功优化[J]. 黑龙江电力, 2011, 33(1): 33-36 |
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| 作者姓名： | 杨龑亮 |
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| 作者单位： | 东北电力大学电气工程学院,吉林,吉林,132012 |
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| 摘 要： | 通过对传统梯度算法和粒子群算法的研究,提出了将梯度算法和粒子群算法(GPSO)相结合的梯度粒子算法.建立了无功优化的数学模型,将梯度粒子算法运用到无功优化中,通过算例验证,梯度粒子算法能够获得更好的全局最优解,此表明该算法运用到实际中将有利于在线电力系统无功优化.
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| 关 键 词： | 梯度 粒子群 无功优化 数学模型 算法 |
Reactive power optimization based on improved particle swarm optimization algorithm |
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| YANG Yanliang. Reactive power optimization based on improved particle swarm optimization algorithm[J]. Heilongjiang Electric Power, 2011, 33(1): 33-36 |
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| Authors: | YANG Yanliang |
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| Affiliation: | YANG Yanliang(School of Electrical Engineering of Northeast Dianli University,Jilin 132012,China) |
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| Abstract: | Through the study of traditional gradient algorithm and particle swarm optimization algorithm,this paper proposes gradient particle swarm optimization algorithm which combines gradient algorithm and particle swarm optimization algorithm.It also establishes mathematical model of reactive power optimization and applies gradient particle swarm optimization algorithm in reactive power optimization.Examples prove that gradient particle swarm optimization algorithm is able to acquire globally optimal solution,which means that the application of this algorithm is beneficial to electric power system reactive power optimization. |
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| Keywords: | gradient particle swarm optimization(PSO) reactive power optimization mathematical model algorithm |
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