| 基于粒子群算法改进的电力系统 |
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| 引用本文： | 许亮.基于粒子群算法改进的电力系统[J].电子测试,2016(21):60-61. |
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| 作者姓名： | 许亮 |
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| 作者单位： | 江苏省电力公司检修分公司,211102 |
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| 摘 要： | 本文针对传统粒子群算法自实际应用中出现速度缓慢及局部最优解等等问题,提出了一种改进粒子群算法,并且将其应用在电力系统中,希望能够解决电力系统所存在的例如无功优化等问题中.改进后的粒子群算法在实际应用中收敛速度更加合理,能够有效保证种群的多元性,有效解决传统粒子群所存在的局部最佳解问题.
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| 关 键 词： | 电力系统 无功优化 粒子群算法 信息分享策略 |
Improved power system based on particle swarm optimization algorithm |
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| Abstract: | In this paper,the traditional particle swarm algorithm used in slow speed and local optimal solution and so on,put forward a kind of improved particle swarm optimization algorithm,and its application in power system,hope to be able to solve the existing power system for reactive power optimization problems.The improved particle swarm optimization algorithm is more reasonable in practical application, which can effectively guarantee the diversity of population,and effectively solve the problem of local optimal solution in traditional particle swarm optimization. |
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| Keywords: | power system reactive power optimization particle swarm optimization information sharing strategy |
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