【摘要】 对配电网故障恢复 (FSR)决策解集最优评估指标进行了模糊性研究 ,形成前向神经网络(FNN)的输入矢量 ;采用统一、规范化准则 ,对各优化目标进行等级划分并进行不同的组合 ,形成FNN的学习样本集 ,其输出即决策解的综合性能的评估值。不仅可以准确地获得最优解 ,同时可以依据最优评估值的大小来估计该解的总体性能的好坏。仿真结果表明 ,文中提出的故障恢复原理可确保获得真正最优的恢复决策解更多还原

【Abstract】 This paper is about optimum evaluation of decision making solving set for fault service restoration (FSR). The optimum evaluation indices of decision making solving set are studied based on fuzzy theory, and the input vectors of feedforward neural network (FNN) are formed. According to the unified and standardization criterion, the optimal objectives are graded and combined to form learning sample set for FNN model, and its output is the integrated evaluated value. Not only the optimal solution can be ensured, but also the optimal value can be used to estimate the integrated performance of the solution. The simulation results show that the true optimal FSR solution can be obtained according to the principle proposed in the paper.[KH2D]更多还原