| 广义蚁群与粒子群结合算法在电力系统经济负荷分配中的应用 |
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| 引用本文： | 侯云鹤,鲁丽娟,熊信艮,吴耀武.广义蚁群与粒子群结合算法在电力系统经济负荷分配中的应用[J].电网技术,2004,28(21):34-38. |
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| 作者姓名： | 侯云鹤 鲁丽娟 熊信艮 吴耀武 |
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| 作者单位： | 华中科技大学电力工程系,湖北省,武汉市,430074;华中科技大学电力工程系,湖北省,武汉市,430074;华中科技大学电力工程系,湖北省,武汉市,430074;华中科技大学电力工程系,湖北省,武汉市,430074 |
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| 摘 要： | 提出了一种结合广义蚁群算法和粒子群算法的优化算法,并将其用于求解复杂的非凸、非线性的电力系统经济负荷分配问题.该结合算法同时具有广义蚁群算法的大规模寻优特性和粒子群算法的较强局部搜索能力,在确保全局收敛性的基础上,能够快速搜索到高质量的优化解.多个算例的仿真结果表明了该结合算法的有效性和可行性.
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| 关 键 词： | 经济负荷分配 广义蚁群算法 粒子群优化算法 电力系统 |
| 文章编号： | 1000-3673(2004)21-0034-05 |
| 修稿时间： | 2004年1月8日 |
APPLICATION OF GENERALIZED ANT COLONY OPTIMIZAITON ALGORITHM INTEGRATED WITH PARTICLE SWARM OPTIMIZATION ALGORITHM IN ECONOMIC DISPATCH OF POWER SYSTEM |
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| HOU Yun-he,LU Li-juan,XIONG Xin-yin,WU Yao-wu.APPLICATION OF GENERALIZED ANT COLONY OPTIMIZAITON ALGORITHM INTEGRATED WITH PARTICLE SWARM OPTIMIZATION ALGORITHM IN ECONOMIC DISPATCH OF POWER SYSTEM[J].Power System Technology,2004,28(21):34-38. |
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| Authors: | HOU Yun-he LU Li-juan XIONG Xin-yin WU Yao-wu |
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| Abstract: | An optimized algorithm in which the general ant colony optimization (GACO) is integrated with particle swarm optimization (PSO) is proposed and is applied to economic dispatch of a complicated, non-concex and nonlinear power system. This integrated algorithm possesses large scale search capability of generalized ant colony algorithm and better local search capability of particle swarm algorithm at the same time. Under the condition of ensuring global convergence, high quality optimization solution can be searched by the proposed algorithm. The simulation results of several calculation examples show that the proposed algorithm is effective and feasible. |
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| Keywords: | Economic dispatch Generalized ANT colony optimization algorithm Particle swarm optimization algorithm Power system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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