摘要
储能配置影响微电网系统的运行经济性和稳定性。为此,以微电网系统运行总成本最小化为目标,基于多种分布式电源和电网侧储能装置及用户侧储能装置,建立了一种电网一用户双侧储能微电网调度模型。为将多阶段群体智能优化方法应用于微电网储能配置,设计了一种变维交叉的多榜样导引蜂群算法,应用于双侧储能微电网调度优化模型。优化结果表明,变维交叉的多榜样导引蜂群算法可有效优化微电网系统的储能配置,提高微电网运行稳定性,相较于其他群体智能优化方法可提升5.35%~10.86%的经济效益。
Energy storage configuration affects the operational economy and stability of microgrid systems.To this end,with the goal of minimizing the total operating cost of microgrid systems,a grid-user dual side energy storage microgrid scheduling model was established based on various distributed power sources,grid-side energy storage devices and user-side energy storage devices.To apply multi-stage swarm intlligence optimization methods to microgrid energy storage configuration,the multi-role models guided bee colony algorithm with variable dimensional crossover was designed and used to the scheduling optimization model of dual-sides energy storage microgrids.The optimization results show that the multi-role models guided bee colony algorithm with variable dimensional crossover can effectively optimize the energy storage configuration of microgrid systems,improve the stability of microgrid operation,and increase economic benefits by 5.35%~10.86%compared to other swarm intelligence optimization methods.
作者
朱司丞
方亮
郑伟
孙伟强
化炯辉
Zhu Sicheng;Fang Liang;Zheng Wei;Sun Weiqiang;Hua Jionghui(Huzhou Electric Power Design Institute Co.,Ltd.,Huzhou Zhejiang 313098,China;Hangzhou Hongsheng Electric Power Design&Consulting Co.,Ltd.,Hangzhou Zhejiang 311121,China)
出处
《电气自动化》
2025年第3期77-81,共5页
Electrical Automation
基金
湖州电力设计院有限公司科技项目“微电网及分布式储能优化配置开发应用”(HZTLKJ2023-05)。
关键词
微电网
储能配置优化
调度优化
群体智能
蜂群算法
microgrid
power storage configuration optimization
dispatch optimization
swarm intelligence
bee colony algorithm
