| 遗传算法、模糊逻辑和运输模型在配电网空间负荷预测中的应用 |
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| 引用本文： | 王天华,王平洋,范明天.遗传算法、模糊逻辑和运输模型在配电网空间负荷预测中的应用[J].电网技术,1999,23(1):24-28. |
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| 作者姓名： | 王天华 王平洋 范明天 |
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| 作者单位： | 国家电力公司电力科学研究院,100085,北京清河 |
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| 摘 要： | 文章提出了一种新颖的配电网空间负荷预测模型。该模型采用模糊推理计算每个小区适于发展各类负荷的程度,根据推理结果运用运输模型来分配各小区内各类负荷的增长。模糊规则是采用遗传算法训练出来的。
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| 关 键 词： | 配电网规划 空间负荷预测 遗传算法 模糊逻辑 运输模型 地理信息系统 |
| 修稿时间： | 1998\07\21 |
APPLICATION OF GENETIC ALGORITHM,FUZZY LOGIC AND TRANSSHIPMENT MODEL TO SPATIAL LOAD FORECASTING FOR DISTRBUTION PLANNING |
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| Wang Tianhua,Wang Pingyang,Fan Mingtian.APPLICATION OF GENETIC ALGORITHM,FUZZY LOGIC AND TRANSSHIPMENT MODEL TO SPATIAL LOAD FORECASTING FOR DISTRBUTION PLANNING[J].Power System Technology,1999,23(1):24-28. |
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| Authors: | Wang Tianhua Wang Pingyang Fan Mingtian |
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| Abstract: | This paper proposes a novel spatial load forecasting(SLF) method for distribution planning. Genetic algorithm is introduced into SLF to learning a set of fuzzy rules, which then is applied to evaluate scores of small areas using fuzzy logic technology. In order to achieve the optimal land use allocation schema, transshipment model is adopted. |
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| Keywords: | distribution system Spatial Load Forecasting Genetic Algorithm Fuzzy Logic Transshipment model Geographic Information System(GIS) |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
