| 禁忌搜索–粒子群算法在无功优化中的应用 |
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| 引用本文： | 曾令全,罗富宝,丁金嫚. 禁忌搜索–粒子群算法在无功优化中的应用[J]. 电网技术, 2011, 0(7): 129-133 |
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| 作者姓名： | 曾令全 罗富宝 丁金嫚 |
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| 作者单位： | 东北电力大学电气工程学院;铜陵供电公司; |
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| 摘 要： | 禁忌搜索粒子群算法是针对粒子群算法局部搜索能力较弱和存在早熟收敛的问题,将禁忌搜索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。该方法在粒子群算法寻优过程的后期加入了禁忌表,扩大搜索空间,避免陷入局部最优。通过对IEEE 30节点测试系统和鸡西电网进行仿真计算,并与其他算法进行比较,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： | 粒子群优化算法 无功优化 禁忌搜索 网损 |
Application of Particle Swarm Optimization Algorithm Integrated With Tabu Search in Reactive Power Optimization |
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| ZENG Lingquan,LUO Fubao,DING Jinman. Application of Particle Swarm Optimization Algorithm Integrated With Tabu Search in Reactive Power Optimization[J]. Power System Technology, 2011, 0(7): 129-133 |
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| Authors: | ZENG Lingquan LUO Fubao DING Jinman |
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| Affiliation: | ZENG Lingquan1,LUO Fubao1,DING Jinman2(1.School of Electrical Engineering,Northeast Dianli University,Jilin 132012,Jilin Province,China,2.Tongling Electric Power Corporation,Tongling 244000,Anhui Province,China) |
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| Abstract: | To remedy defects existing in traditional particle swarm optimization algorithm(PSO) algorithm,such as it easy falls into local optima and its slower convergence in the later stage of search process,the PSO algorithm is integrated with tabu search to form tabu search-particle swarm optimization(TS-PSO) algorithm and applied to reactive power optimization of power system.In the later stage of search process a tabu list is added into the later stage of search process to enlarge search space and avoid falling ... |
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| Keywords: | particle swarm optimization(PSO) algorithm reactive power optimization tabu search network loss |
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