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
Key words
improved particle swarm algorithm/intelligent distribution network/intra-day distribution/distributed dispatching/dispatching method/power grid control
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