多端口能源路由器"源网荷储"能量调度粒子群优化算法
Particle swarm optimization algorithm for energy scheduling of multiport energy routers with "source-grid-load-storage"
许晓晖 1张茂杰 2潘峻锋 2徐成虎 2张浩2
作者信息
- 1. 武汉船用电力推进装置研究所,武汉 430060
- 2. 武汉理工大学 自动化学院,武汉 430070
- 折叠
摘要
能源路由器既可实现能量流和信息流的高度融合,又有利于电能传输、辐射和综合利用,研究与运行时间表明这是建立在能源路由器经济、安全和可靠运行基础上.为此,在综合考虑光伏发电成本、市电购电成本、储能成本等各项经济因素的基础上,建立了"源网荷储"多能互补系统的经济运行模型,提出了基于粒子群优化算法的多能互补系统能量调度优化方案.结合所研制的应用于某园区的七端口能源路由器,进行了仿真分析与装置试验,结果表明:所提粒子群优化算法的调度方案可行有效,不仅可以降低系统研制和运行成本,还可以推广应用到军事岛礁多能源互补微电网系统,充分发挥分布式电源灵活与高效的应用特性.
Abstract
The energy router(ER)can not only achieve a high degree of integration of energy flow and information flow,but also be conducive to power transmission,radiation and comprehensive utiliza-tion,and the research and operation time show that this is based on the economical,safe and reliable operation of the ER.Therefore,on the basis of comprehensive consideration of various economic fac-tors such as photovoltaic power generation cost,utility power purchase cost,and energy storage cost,the economic operation model of＂source-grid-load-storage＂multi-energy complementary system was established,and the energy scheduling optimization scheme of multi-energy complementary system based on particle swarm optimization algorithm was proposed.Simulation analysis and device test,re-lated to the developed seven-port ER applied to a certain area,show that the effectiveness of the sche-duling scheme of the proposed particle swarm optimization algorithm not only reduces the system development and operation costs,but also can be popularized and applied to the multi-energy comp-lementary microgrid system of military islands and reefs,giving full play to the flexible and efficient application characteristics of distributed power sources.
关键词
能源路由器/源网荷储/能量调度/粒子群优化算法Key words
energy router/source-grid-load-storage/energy scheduling/particle swarm optimization algorithm引用本文复制引用
基金项目
国家自然科学基金资助项目(51977164)
出版年
2024
NETL
NSTL
万方数据