| 上海电网需求侧负荷模式的组合识别模型 |
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| 引用本文： | 赵岩,李磊,刘俊勇,刘友波,胥威汀,侯贺飞,姚珺玉.上海电网需求侧负荷模式的组合识别模型[J].电网技术,2010(1). |
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| 作者姓名： | 赵岩 李磊 刘俊勇 刘友波 胥威汀 侯贺飞 姚珺玉 |
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| 作者单位： | 上海市电力公司;四川大学电气信息学院; |
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| 摘 要： | 区别于传统按行业分类的需求侧负荷分析方法,利用自组织映射神经网络、K-means、模糊C均值、ID3决策树等数学工具构建了基于聚类、分类技术与决策树结构分析的负荷模式组合识别模型,并对上海电网需求侧负荷进行了特征指标计算、类别判断与挖掘、聚类评判、分类知识解释等综合分析。根据上海电网14个行业357个用户的日负荷数据集进行算例分析,指出了上海电网需求侧负荷类型、行业分布、关键指标等模式特点,验证了该模型的正确性、有效性与工程适用性。
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| 关 键 词： | 上海电网 自组织映射网络 负荷模式 负荷特性 组合识别模型 数据挖掘 |
Combinational Recognition Model for Demand Side Load Profile in Shanghai Power Grid |
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| ZHAO Yan,LI Lei,LIU Jun-yong,LIU You-bo,XU Wei-ting,HOU He-fei,YAO Jun-yu.Combinational Recognition Model for Demand Side Load Profile in Shanghai Power Grid[J].Power System Technology,2010(1). |
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| Authors: | ZHAO Yan LI Lei LIU Jun-yong LIU You-bo XU Wei-ting HOU He-fei YAO Jun-yu |
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| Affiliation: | 1.Shanghai Municipal Electric Power Company;Pudong New District;Shanghai 200122;China;2.School of Electrical Engineering and Information;Sichuan University;Chengdu 610065;Sichuan Province;China |
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| Abstract: | Different from traditional demand side load analysis methods which classify power load according to industrial properties,a combinational load profile recognition model based on clustering,classification technique and decision tree structure analysis is constructed by use of self-organizing mapping neural network and such mathematical tools as K-means,FCM,ID3 decision tree.Using the proposed model,the comprehensive analyses on demand side loads in Shanghai power grid,including characteristic index calculati... |
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| Keywords: | Shanghai power grid self-organizing mapping network load profile load characteristics combinational recognition model data mining |
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