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      1. Suzhou Electric Appliance Research Institute
        期刊號: CN32-1800/TM| ISSN1007-3175

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        遺傳算法優化BP神經網絡的電能質量預測預警研究

        來源:電工電氣發布時間:2021-09-18 12:18 瀏覽次數:21

        遺傳算法優化BP神經網絡的電能質量預測預警研究

        武晨晨1,苗霽1,祝佳楠1,張文惠2
        (1 國網江蘇省電力有限公司宿遷供電分公司,江蘇 宿遷 223800;
        2 南京理工大學 自動化學院,江蘇 南京 210094)
         
            摘 要:電能質量穩態指標的預測和預警對于優化電網運行方式具有重要意義。以某監測點為研究對象,根據該監測點的歷史天氣信息、有功功率、無功功率和電能質量數據,使用遺傳算法改進 BP 神經網絡,構建復合型神經網絡預測系統。給出了電能質量分等級預警方式,通過模糊聚類合理靈活地設置閾值并給出電能質量預警信息,以適應不同場合的預警。算例驗證證明了該方法的有效性與實用性。
            關鍵詞:電能質量;遺傳算法;BP 神經網絡;預測;預警;模糊聚類
            中圖分類號:TM933.4     文獻標識碼:A     文章編號:1007-3175(2021)09-0018-05
         
        Power Quality Prediction and Warning Based on BP
        Neural Network Optimized by Genetic Algorithm
         
        WU Chen-chen1, MIAO Ji1, ZHU Jia-nan1, ZHANG Wen-hui2
        (1 State Grid Jiangsu Electric Power Co., Ltd Suqian Power Supply Branch, Suqian 223800, China;
        2 School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China)
         
            Abstract: The prediction and warning of power quality steady state indices is of great significance to optimize the operation of power grid.In this paper, a certain monitoring point is taken as the research object and the data about its historical weather information, active power, reactive power and power quality are performed., The genetic algorithm is utilized to improve the BP neural network and a complex neural network prediction system is constructed accordingly. This prediction system could warn by the grades of power quality and could set threshold value reasonably and flexibly by the use of fuzzy clustering aiming at giving warning information which is available for various situations. In the end ,this method is verified effective and practical by an example.
            Key words: power quality; genetic algorithm; BP neural network; prediction; warning; fuzzy clustering
         
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