基于改进粒子群算法的智能配电网日内分布式优化调度方法  

Optimal intra-day distributed dispatching method of intelligent distribution network based on improved particle swarm algorithm

作　　者：李习野 LI Xiye(State Grid Wuxiang County Electric Power Supply Company,Wuxiang 046300,China)

机构地区：[1]国网武乡县供电公司,山西武乡046300

出　　处：《无线互联科技》2024年第24期28-30,共3页Wireless Internet Science and Technology

摘　　要：当前配电网调度中,约束条件的设定往往采用目标式方法,导致调度覆盖范围受限。为此,文章提出了一种基于改进粒子群算法的智能配电网日内分布式优化调度方法。该方法根据实时调度需求,设定了日内配电网优化调度目标,采用多阶策略,突破传统调度覆盖范围的限制,制定多阶调度约束条件,对基础变量进行优化。在此基础上,文章构建了改进粒子群算法的电网日内分布式优化调度模型,通过反向核验处理机制实现高效优化调度。测试结果显示,该方法在调度后显著降低了线路损耗,具有较高的实用价值。In current distribution network scheduling,the setting of constraint conditions often adopts a goal based approach,resulting in limited scheduling coverage.Therefore,this article proposes an intelligent distribution network intraday distributed optimization scheduling method based on improved particle swarm optimization algorithm.This method sets the goal of optimizing the daily distribution network scheduling based on real-time scheduling needs,and adopts a multi-level strategy to breakthrough the limitations of traditional scheduling coverage.It formulates multi-level scheduling constraints and optimizes the basic variables.On this basis,an improved particle swarm optimization algorithm based intraday distributed optimization scheduling model for power grids was constructed,and efficient optimization scheduling was achieved through reverse verification processing mechanism.The test results show that this method significantly reduces line losses after scheduling and has high practical value.

关 键 词：改进粒子群算法 智能配电网 日内分布 分布式调度 调度方法 电网控制 

分 类 号：TM73[电气工程—电力系统及自动化]