| 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.[点击复制] |
| YANG Jian,LUO An,TU Chun-ming,ZHAO Wei.Reasearch of intelligent comprehensive compensation for power system algorithm by applying neural network and genetic algorithm[J].Control Theory and Technology,2002,19(5):737~740.[点击复制] |
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| 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 |
| Reasearch of intelligent comprehensive compensation for power system algorithm by applying neural network and genetic algorithm |
| 摘要点击 1477 全文点击 1168 投稿时间：2001-06-04 修订日期：2002-03-28 |
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| DOI编号 10.7641/j.issn.1000-8152.2002.5.015 |
| 2002,19(5):737-740 |
| 中文关键词 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 |
| 英文关键词 valuable parameters of power system comprehensive compensation fast Fourier transform neural network genetic algorithm |
| 基金项目 国家863(863-511-820-007)资助项目. |
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| 中文摘要 |
| 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. |
| 英文摘要 |
| 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. |
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