| 应用神经网络和遗传算法的智能电网综合补偿控制的研究 |
| |
| 引用本文： | 杨 建,罗 安,涂春鸣,赵 巍.应用神经网络和遗传算法的智能电网综合补偿控制的研究[J].控制理论与应用,2002,19(5):737-740. |
| |
| 作者姓名： | 杨 建 罗 安 涂春鸣 赵 巍 |
| |
| 作者单位： | 中南大学,信息科学与工程学院,长沙,410083 |
| |
| 基金项目： | 国家863(863-511-820-007)资助项目. |
| |
| 摘 要： | 以变电站电网质量综合补偿控制为背景, 依照基本的三相平衡理论求出各相的补偿电抗参考值, 用神经网络对补偿后电网的质量参数进行预测, 并结合遗传算法对补偿的电抗值进行全局寻优, 实现对电网补偿的综合控制. 结果表明这一智能化的控制系统的性能是令人满意的, 证明了该算法的有效性.
|
| 关 键 词： | 电网质量参数 综合补偿 快速傅立叶变换 神经网络 遗传算法 |
| 文章编号： | 1000-8152(2002)05-0737-04 |
| 收稿时间： | 6/4/2001 12:00:00 AM |
| 修稿时间： | 2001年6月4日 |
Reasearch of intelligent comprehensive compensation for power system algorithm by applying neural network and genetic algorithm |
| |
| YANG Jian,LUO An,TU Chun-ming and ZHAO Wei.Reasearch of intelligent comprehensive compensation for power system algorithm by applying neural network and genetic algorithm[J].Control Theory & Applications,2002,19(5):737-740. |
| |
| Authors: | YANG Jian LUO An TU Chun-ming and ZHAO Wei |
| |
| Affiliation: | College of Information Science and Engineering,Central South University,Changsha 410083,China;College of Information Science and Engineering,Central South University,Changsha 410083,China;College of Information Science and Engineering,Central South University,Changsha 410083,China;College of Information Science and Engineering,Central South University,Changsha 410083,China |
| |
| Abstract: | This article takes the comprehensive compensation control in substation as reasearch background. Accroding to the power balance base principle,we obtain the reference reactance value, and use neural network to predict power system's important parameters which will be compensated. Combining with genetic algorithm ,we gain the optimization compensation reactance value and realize the control of comprehensive compensation for power system. The results show the effect of this intelligent control system is good, and affirm the effect's validity of this algorithm. |
| |
| Keywords: | valuable parameters of power system comprehensive compensation fast Fourier transform neural network genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《控制理论与应用》浏览原始摘要信息 |
|
点击此处可从《控制理论与应用》下载全文 |
|
