| 基于免疫遗传算法的PMU优化配置 |
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| 引用本文： | 吴迎新,刘沛. 基于免疫遗传算法的PMU优化配置[J]. 华中科技大学学报(自然科学版), 2007, 35(6): 74-76 |
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| 作者姓名： | 吴迎新 刘沛 |
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| 作者单位： | 华中科技大学,电气与电子工程学院,湖北,武汉,430074 |
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| 摘 要： | 针对电力系统状态完全观测下的相量测量装置(PMU)配置优化问题,提出了一种新的基于免疫遗传算法的优化配置方法.给出了免疫算子的构造、控制参数的选取以及利用系统信息与先验性知识来构造和接种疫苗的具体步骤.算例系统的研究结果表明,免疫遗传方法可以提高求解PMU优化配置问题的效率和准确性.
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| 关 键 词： | 电力系统 相量测量单元(PMU) 免疫遗传算法 可观测性 免疫遗传算法 优化配置 genetic algorithms immune unit measurement placement 效率 配置问题 求解 遗传方法 结果 研究 系统信息 算例 接种疫苗 性知识 利用 选取 控制参数 |
| 文章编号： | 1671-4512（2007）06-0074-03 |
| 修稿时间： | 2006-04-30 |
Optimal placement of phasor measurement unit by immune genetic algorithms |
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| Wu Yingxin,Liu Pei. Optimal placement of phasor measurement unit by immune genetic algorithms[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 2007, 35(6): 74-76 |
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| Authors: | Wu Yingxin Liu Pei |
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| Affiliation: | College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | Taking the full network observability of power system operation state and lease number of phasor measurement unit(PMU) as objective function,a new optimal PMU placement approach based on immune genetic algorithms is proposed.The methods of construction immune operators,control parameters selection,the strategies of construction vaccines using system information and inoculation method are all given.Test results for the New England 39-bus system have shown that the proposed algorithms developed for PMU optimal placement is feasible and efficient. |
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| Keywords: | power system phasor measurement unit(PMU) immune genetic algorithms observables |
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