基于混合GEP的配电低压台区综合评价算法*

配电低压台区的综合评价对于智能配电网的运行监控至关重要。针对现有的这些配电网综合评估方法存在主观性强、评价指标体系复杂多样等问题,提出了基于混合基因表达式编程的配电低压台区综合评价算法。首先利用粗糙集的思想,通过对综合评价决策表依赖度的计算快速求解最优约简。在此基础上,利用基因表达式编程挖掘配电低压台区综合评价函数,最后基于该函数模型达到评价和预测配电低压台区运行状态的目的。仿真实验表明,对于复杂高维的配电低压台区综合评价决策信息,所提出的算法具有较高的挖掘效率和预测准确率,同时具有较强的实用性。

Comprehensive evaluation algorithm of distribution low voltage station area based on hybrid GEP

Comprehensive evaluation of distribution low voltage station area is essential for the operation and monitoring of smart distribution network.The existing comprehensive evaluation methods of the low voltage station area is very subjective,and the factors affecting the comprehensive evaluation are too many to lead to the low accuracy of the evaluation model.In order to solve this problem,comprehensive evaluation algorithm of low voltage station area in smart distribution network based on hybrid gene expression programming is proposed which combines with rough set theory.Firstly,based on the idea of rough set,the optimal reduction is solved by the calculation of the dependence degree of the comprehensive evaluation decision table.Secondly,comprehensive evaluation function of low voltage station area in distribution network is mined by gene expression programming.Finally,the purpose of the evaluation and prediction of the low voltage station area operation state is evaluated based on the function model.Experimental results show that comprehensive evaluation function model on distribution low voltage station area based on the proposed algorithm has high efficiency of function mining,accuracy of prediction and strong practicality.