基于改进多目标粒子群算法的分布式电源集群优化调度研究  

Research on Optimal Scheduling of Distributed Generation Cluster Based on Improved Multi-Objective Particle Swarm Algorithm

作　　者：刘江东 朱健 孔伯骏 王升波 王乐 丰颖 LIU Jiangdong;ZHU Jian;KONG Bojun;WANG Shengbo;WANG Le;FENG Ying(Yangzhou Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Yangzhou Jiangsu 211499,China)

机构地区：[1]国网江苏省电力有限公司扬州供电分公司,江苏扬州211499

出　　处：《湖北电力》2024年第5期8-14,共7页Hubei Electric Power

基　　金：国网江苏省电力有限公司科技项目(项目编号:J2022119)。

摘　　要：随着能源短缺与环境污染问题的日益严重,清洁能源的引入已成为分布式电源集群研究发展的重要趋势。为实现分布式电源集群在经济性能与环境效益层面的协同优化运行,针对包含光伏发电机组、风力发电机组、储能系统和柴油发电机组的并网运行分布式电源集群,建立了以运行维护成本和环境保护成本最低为目标的多目标优化调度模型。通过模拟农业农村场景,运用改进多目标粒子群算法对模型进行求解。充分考虑风电与光电的波动性和间歇性特点,合理优化配置风力发电机组、光伏发电机组及储能装置的容量,并分析仿真结果以验证优化配置和调度的可行性。仿真优化结果为多目标分布式电源集群的优化运行研究提供了参考依据,也为经济环保的风光储容量优化配置和调度研究提供了参考。With the increasingly serious problems of energy shortage and environmental pollution,the introduction of clean energy has become an important trend in the research and development of distributed generation cluster.In order to achieve the coordinated and optimized operation of distributed power clusters in terms of economic performance and environmental benefits,and for the grid-connected distributed power cluster including photovoltaic generator set,wind generator set,energy storage system and diesel generator set,a multi objective optimal scheduling model with the lowest operation and maintenance cost and environmental protection cost is established.The model is solved by using improved multi-objective particle swarm optimization(PSO)to simulate agricultural and rural scenarios.The volatility and intermittency characteristics of wind power and photoelectric power is fully considered;the capacity of wind turbine,photovoltaic generator and energy storage device is rationally optimized,and simulation results are analyzed to verify the feasibility of optimal configuration and scheduling.The simulation and optimization results provide a reference for the study of the optimal operation of the multi-objective distributed power cluster,and also provide a reference for the study of the optimal allocation and scheduling of the wind-wind storage capacity of the economy and environmental protection.

关 键 词：分布式电源集群 优化调度 改进粒子群算法 风力发电机组 储能系统 清洁能源 

分 类 号：TM714[电气工程—电力系统及自动化]