| TS-PSO算法在电力系统无功优化中的应用 |
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| 引用本文： | 何芳,丁金嫚.TS-PSO算法在电力系统无功优化中的应用[J].安徽电力,2011(2). |
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| 作者姓名： | 何芳 丁金嫚 |
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| 作者单位： | 铜陵供电公司; |
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| 摘 要： | 为了解决粒子群算法(PSO)局部搜索能力较弱和存在早熟收敛的问题,提出了将禁忌搜索(TS)思想融入到粒子群算法中的混合算法,并将该算法应用到电力系统无功优化中。改进后的算法综合了粒子群算法快速性、随机性和全局收敛的优点,还具有禁忌搜索局部寻优的能力。通过对IEEE-30节点测试系统、铜陵电网实际进行仿真计算,并与其它算法进行比较,结果表明该算法能取得更好的全局最优解,既加快了收敛速度,又提高了收敛精度。
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| 关 键 词： | 电力系统 无功优化 粒子群优化算法 禁忌搜索 应用 |
Application of Reactive Power Optimization Based on Particle Swarm Optimization Algorithm with Tabu Search in Power System |
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| Abstract: | In order to solve problems of weak local search and premature convergence in the particle swarm algorithm(PSO),the paper put forward a tabu search(TS) thinking into the hybrid particle swarm algorithm and the algorithm is applied to reactive power optimization.Improved PSO algorithm is a combination of fast,random and the advantages of global convergence,but also with tabu local search optimization capabilities.Through the IEEE-30 bus test system,Tongling power grid makes actual simulation,and compared with... |
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| Keywords: | power system reactive power optimization particle swarm optimization algorithm(PSO) tabu search application |
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