| 基于多种群遗传算法的输电系统扩展规划 |
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| 引用本文： | 叶在福,单渊达. 基于多种群遗传算法的输电系统扩展规划[J]. 电力系统自动化, 2000, 24(5): 24-27,35 |
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| 作者姓名： | 叶在福 单渊达 |
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| 作者单位： | 东南大学电气工程系,南京,210096 |
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| 摘 要： | 在简要介绍了标准遗传算法的基础上，详细分析了造成遗传算法成熟收敛的原因，提出了一种多种群遗传算法结构。将这一方法应用于输电系统扩展规划，可以大大降低遗传控制参数的不当设定对规划结果的影响，对抑制未成熟收敛的发生有明显的效果，同时可以给最优和若干次规划方案。
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| 关 键 词： | 电力系统 输电系统扩展规划 遗传算法 |
| 收稿时间： | 1900-01-01 |
| 修稿时间： | 1900-01-01 |
A NEW TRANSMISSION NETWORK EXPANSION PLANNING BASED ON MULTIPLE-POPULATION GENETIC ALGORITHM |
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| Ye Zaifu,Shan Yuanda. A NEW TRANSMISSION NETWORK EXPANSION PLANNING BASED ON MULTIPLE-POPULATION GENETIC ALGORITHM[J]. Automation of Electric Power Systems, 2000, 24(5): 24-27,35 |
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| Authors: | Ye Zaifu Shan Yuanda |
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| Abstract: | After a brief discussion aboutstandard genetic algorithm SGA ,this paper analyses why premature convergence is caused by genetic algorithm .Then a new transmission network expansion planning based on multiple-population genetic algorithm MPGA is presented,in which the MPGA is designed to cope with the causes of premature convergence.Using this method,the influence of improper genetic control parameters on planning result can be greatly decreased and premature convergence can be overcome effectively.Two practical applications of this method prove that MPGA is effective. |
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| Keywords: | power systems transm ission network expansion planning genetic algorithm premature convergenc |
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