| 电网综合补偿系统中智能控制算法的应用研究 |
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| 引用本文： | 胡 鲜,秦华标,周敬泉,毕英满,袁 鹏.电网综合补偿系统中智能控制算法的应用研究[J].控制理论与应用,2001,18(1):58-61. |
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| 作者姓名： | 胡 鲜 秦华标 周敬泉 毕英满 袁 鹏 |
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| 作者单位： | 华南理工大学电子与信息学院 |
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| 基金项目： | 国家自然科学基金 !(6 9772 0 0 7)，华南理工大学青年科学基金资助项目 |
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| 摘 要： | 基于电网综合补偿系统的智能控制模型，采用模糊控制和社会网络控制技术，对电网中的功率因数亏损、电流三相不平衡等参数进行综合补偿，以我校某区的配电采样数据进行仿真，仿真结果为平均功率因数补偿前为0．86953，补偿后提高到0．99908；电流平均三相不平衡度补前为6．3921％，补偿后减少2．7467％。
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| 关 键 词： | 电网 综合补偿系统 智能控制 聚类 算法 |
| 文章编号： | 1000-8125(2001)01-0058-04 |
| 收稿时间： | 1999/9/27 0:00:00 |
| 修稿时间： | 1999年9月27日 |
Applied Research of Intelligent Control Algorithm on Comprehensive Compensation System for Electric Network |
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| HU Xian,QIN Hua-biao,ZHOU Jing-quan,BI Ying-man and YUAN Peng.Applied Research of Intelligent Control Algorithm on Comprehensive Compensation System for Electric Network[J].Control Theory & Applications,2001,18(1):58-61. |
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| Authors: | HU Xian QIN Hua-biao ZHOU Jing-quan BI Ying-man and YUAN Peng |
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| Affiliation: | College of Electronic & Information Engineering, South China University of Technology, Guangzhou ,510640 ,P. R. China;College of Electronic & Information Engineering, South China University of Technology, Guangzhou ,510640 ,P. R. China;College of Electronic & Information Engineering, South China University of Technology, Guangzhou ,510640 ,P. R. China;College of Electronic & Information Engineering, South China University of Technology, Guangzhou ,510640 ,P. R. China;College of Electronic & Information Engineering, South China University of Technology, Guangzhou ,510640 ,P. R. China |
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| Abstract: | This article introduces the way to synthetically compensate reactive power and three phase current imbalance of power supply system, which is on base of the intelligent control model of power supply system. Fuzzy control and neural network technique are applied. We have done emulation using the sample data of power supply system of some building of our school. Before it is compensated, the average power factor is 0.86953 and current imbalance percent is 6.3921%. After it is compensated, the average power factor is 0.99908 and current imbalance percent is 2.7467%. |
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| Keywords: | electric power network comprehensive compensation neural network fuzzy c means (FCM) clustering algorithm |
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