| 基于改进粒子群优化算法的电力系统有功最优潮流 |
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| 引用本文： | 段启平,贺成才. 基于改进粒子群优化算法的电力系统有功最优潮流[J]. 华中电力, 2008, 21(1): 18-20 |
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| 作者姓名： | 段启平 贺成才 |
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| 作者单位： | 湖南省电力安装工程公司,湖南,衡阳,421002 |
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| 摘 要： | 提出了一种基于改进粒子群优化算法的有功最优潮流模型及求解方法，采用了自适应罚函数法处理最优潮流问题的各种约束条件。通过对IEEE-30节点系统的仿真计算，并且与遗传算法进行比较，验证了提出的模型和方法的有效性。
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| 关 键 词： | 粒子群优化算法:最优潮流:遗传算法 |
| 文章编号： | 1006-6519（2008）01-0018-03 |
| 收稿时间： | 2007-12-17 |
| 修稿时间： | 2007-12-17 |
Optimal Active Power Flow Using Improved Particle Swarm Optimization Algorithm |
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| DUAN Qi-ping,HE Cheng-cai. Optimal Active Power Flow Using Improved Particle Swarm Optimization Algorithm[J]. Central China Electric Power, 2008, 21(1): 18-20 |
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| Authors: | DUAN Qi-ping HE Cheng-cai |
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| Affiliation: | Hunan Electric Power Installation Engineering Company,Hengyang 421002,China;Hunan Electric Power Installation Engineering Company,Hengyang 421002,China |
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| Abstract: | A model for optimal active power flow is presented and the method based on improved particle swarm optimization algorithm is proposed, The adaptive penalty function is introduced to solve the various constraints of optimal power flow. The proposed method is demonstrated and compared with GA approach on the standard IEEE 30-bus system, The test results indicates the validity of the proposed model and method. |
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| Keywords: | particle swarm optimization algorithm optimal power flow genetic algorithm |
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