基于模糊神经网络决策树的电压稳定性评估Evaluation of Power System Voltage Stability Based on Fuzzy Neural Network Decision Tree
吴杰康;邓松;梁志武;张宏亮;
摘要(Abstract):
提出了适用于电力系统电压稳定性评估的模糊神经网络决策树模型。在生成的决策树中引入模糊神经网络技术,构建出模糊神经网络决策树模型。采用模糊神经网络中的前向神经网络BP算法对小分裂样本进行进一步处理。Matlab仿真结果表明,模糊神经网络决策树应用于电压稳定性评估中,与单独应用决策树相比,分类成功率提高了3.3%。同时,由于减小了样本维度,缩短了模糊神经网络的训练时间,更有利于实现在线电压稳定预测。
关键词(KeyWords): 电力系统;电压稳定性;模糊神经网络;决策树
基金项目(Foundation): 国家863高技术基金项目(2007AA04Z100);; 国家自然科学基金资助项目(50767001);; 广西自然科学基金资助项目(桂科自0640028);; 广西高校百名中青年学科带头人资助计划项目(RC20060808002);; 广西壮族自治区研究生教育创新计划项目(20070808M32)~~
作者(Author): 吴杰康;邓松;梁志武;张宏亮;
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DOI:
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