文件名称:33
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混合智能算法：采用人工神经网络对不确定性函数与及约束进行拟合，并采用pso算法求解考虑多个风电节点的IEEE33节点系统随机规划模型。-Hybrid intelligent algorithm: the use of artificial neural network to fit the function of the uncertainty and constraint, and using pso algorithm considering IEEE33 node system stochastic programming model of multiple wind power node.
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下载文件列表
混合智能算法(pso&bp)\BP_Test.m
....................\data\33节点结果.txt
....................\....\IEEE33节点配电系统.xls
....................\....\nods33.xls
....................\....\nods8.xlsx
....................\....\nods90.xlsx
....................\evaluate_objective_PSO.m
....................\fitness.m
....................\getWeibull.m
....................\getWindPower.m
....................\getWind_Re_Power.m
....................\initialize_PSO.asv
....................\initialize_PSO.m
....................\initialize_Speed.asv
....................\initialize_Speed.m
....................\initialize_variables.m
....................\objective_description_function.m
....................\objective_description_function_PSO.m
....................\PowerFlow.m
....................\pso.m
....................\PSOonline_opf.m
....................\data
混合智能算法(pso&bp)