基于改进遗传算法的配电网节能降损技术研究  

Research on Energy Saving and Loss Reduction Technology of Distribution Network Based on Improved Genetic Algorithm

作　　者：薄宇 Bo Yu(State Grid Shanxi Electric Power Company Yingxian Power Supply Company,Shuozhou,Shanxi,China,037600)

机构地区：[1]国网山西省电力公司应县供电公司,山西朔州037600

出　　处：《仪器仪表用户》2024年第12期31-32,35,共3页Instrumentation

摘　　要：我国社会经济发展下,电力系统体量不断增大,成为消耗资源大户,怎样做好电力行业节能降耗工作已经成为建设生态社会的研究重点。本文分析了改进遗传算法流程,针对配电网综合节能降损技术要求,阐述了基于改进遗传算法建立负荷预测技术与无功补偿技术。并以某地区10 kV配电网为例,计算节能降损数据,确定方案细节,达到良好降损效果,以期为相关工作者提供参考。With the continuous growth of China's social and economic development,the power system has become a significant consumer of resources.How to effectively achieve energy conservation and consumption reduction in the power industry has become a key research focus for building an ecological society.This article analyzes the process of improved genetic algorithm and elaborates on the establishment of load forecasting technology and reactive power compensation technology based on the improved genetic algorithm,aiming at the comprehensive energy-saving and loss reduction technical requirements of the distribution network.Taking a 10 kV distribution network in a certain region as an example,the energy-saving and loss reduction data are calculated,and the details of the scheme are determined to achieve a good loss reduction effect,providing a reference for relevant practitioners.

关 键 词：改进遗传算法 配电网 负荷预测 配网重构 无功补偿 

分 类 号：TM727.1[电气工程—电力系统及自动化]