基于BP神经网络模型实现配电网络损耗优化的研究

配电网络损耗是关系到电网正常运行的关键,如何对配电网络损耗进行优化是目前亟待解决的技术问题。论文针对无功补偿设备辐射状配电网存在的网络损耗问题,提出了一种优化方案。根据辐射状配电网体系结构的特征,提出基于BP网络模型理论进行计算配电网络损耗的方法,该方法能够映射、处理任意复杂的非线性关系,数据处理精确、及时,并根据计算的结果,提出基于遗传算法优化网络损耗的方案,通过搜索最优解,有针对性地优化损耗问题。根据数据比对,论文提出的方案优化效果较好,具有一定的实用价值。

Research on Optimization of Distribution Network Loss Based on BP Neural Network Model

The electrical network loss is the key to the normal operation of the power grid.How to optimize the power distribu?tion network loss is a technical problem that needs to be solved urgently.In this paper,an optimization scheme is proposed for the network loss problem of reactive power compensation equipment in radial distribution network.BP network model theory is proposed to calculate the loss of the distribution network based on the characteristics of the radial distribution network architecture.The meth?od can map and process arbitrarily complex nonlinear relationships,and the data processing is accurate and timely.According to the calculation results,a scheme based on genetic algorithm to optimize network loss is proposed.By searching for the optimal solution,the loss problem is optimized.Through the data comparison,the proposed scheme has better optimization effect and has certain prac?tical value.