电测与仪表2025，Vol.62Issue(11)：167-175,209,10.DOI:10.19753/j.issn1001-1390.2025.11.019
基于改进NSGA Ⅲ-PSO的含风光柴储配电网优化调度方法研究
Research on optimization scheduling method for WT-PV-DE-BES distribution network based on improved NSGA Ⅲ-PSO
摘要
Abstract
The continuous integration of microgrids has made the distribution network structure increasingly com-plex,with an increasing number of equipment types and diverse operating modes,posing new challenges to the safety and economy of its operation and scheduling.In response to the issues of high model dimensionality,difficult solution,and low computational accuracy in existing intelligent scheduling methods for microgrid distribution net-work,this paper proposes a dual layer model for distribution network safety and economic scheduling that considers wind,solar,and diesel storage(WT-PV-DE-BES).The upper layer constructs a multi-objective scheduling model with the lowest total operating cost,minimum network loss,and voltage stability index considering constraints such as power flow and microgrid interaction.The model is solved using an improved third-generation non dominated sor-ting genetic algorithm(NSGA Ⅲ).The lower layer constructs a scheduling model with the goal of minimizing the operating cost of the microgrid itself under the constraints of energy storage and distributed power generation,and solves the model through an improved particle swarm optimization(PSO)algorithm.The results indicate that,the proposed method can effectively balance economy and safety,and achieve a win-win situation for multiple parties through in-depth coordination and cooperation of the two-layer model.Compared with conventional methods,the to-tal cost is reduced by more than 3.00％,the voltage stability index is reduced by more than 1.50％,and the total solution time is reduced by more than 2.50％,which has certain practical value.关键词
配电网/微电网/双层模型/风光柴储/第三代非支配排序遗传算法/粒子群算法Key words
distribution network/microgrid/dual layer model/WT-PV-DE-BES/third-generation non-dominated sorting genetic algorithm/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
范展滔,刘敬诚..基于改进NSGA Ⅲ-PSO的含风光柴储配电网优化调度方法研究[J].电测与仪表,2025,62(11):167-175,209,10.基金项目
南方电网科技项目(ZDKJXM20220002) （ZDKJXM20220002）
