| 电力系统经济负荷分配的改进粒子群算法 |
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| 引用本文： | 王坤,王蔚,张智晟,林涛,陈军港. 电力系统经济负荷分配的改进粒子群算法[J]. 青岛大学学报(工程技术版), 2009, 24(1): 79-84 |
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| 作者姓名： | 王坤 王蔚 张智晟 林涛 陈军港 |
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| 作者单位： | 青岛大学自动化工程学院,山东,青岛,266071;青岛供电公司,山东,青岛,266002 |
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| 基金项目： | 山东省教育厅科技计划项目，青岛大学引进人才科研基金 |
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| 摘 要： | 为解决电力系统中的经济负荷分配问题，将改进粒子群算法用于其中。该算法是以基本粒子群算法为基础，利用优化惯性权重策略以及改进最优最差粒子策略，使改进粒子群算法具有高效率全局搜索能力。对三个算例进行仿真测试，证实该算法可有效地解决经济负荷分配问题；性能对比显示，该算法求得的解优于基本粒子群算法及其它优化算法所求得的解。
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| 关 键 词： | 电力系统 经济负荷分配 改进粒子群算法 阀点效应 |
Improved Particle Swarm Optimization Algorithm for Economic Load Dispatch of Power System |
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| WANG Kun,WANG Wei,ZHANG Zhi-sheng,LIN Tao,CHEN Jun-gang. Improved Particle Swarm Optimization Algorithm for Economic Load Dispatch of Power System[J]. Journal of Qingdao University(Engineering & Technology Edition), 2009, 24(1): 79-84 |
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| Authors: | WANG Kun WANG Wei ZHANG Zhi-sheng LIN Tao CHEN Jun-gang |
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| Affiliation: | WANG Kun, WANG Wei, ZHANG Zhi-sheng, LIN Tao CHEN Jun-gang(1. School of Automation Engineering, Qingdao University, Qingdao 266071, China 2. Qingdao Electric Power Company, Qingdao 266002, China ) |
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| Abstract: | The improved particle swarm optimization algorithm is used in the economic load dispatch （ELD） problems of power system. The algorithm is based on the basic particle swarm optimization algorithm and two improved methods are used. We adopt the weight of inertia and renovate the best and worst particle to make the algorithm possess high efficiency in searching for the best solution in the global area. Two simulations are tested and the results verify that the algorithm can solve the ELD problems efficiently. The comparisons show that the solution given by the improved algorithm is better than the basic particle swarm optimization algorithm and other algorithms. |
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| Keywords: | power system economic load dispatch improved particle swarm optimization value-point effect |
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