摘要
光伏系统与建筑储能系统的协同优化运行对于提升建筑能源自给率、削峰填谷以及提高能源利用效率具有重要意义。本研究针对光伏—储能协同运行的能量调度问题,构建了多目标优化调度模型,并设计了智能能量管理算法,以平衡光伏发电的波动性与储能系统的充放电策略。研究采用MATLAB/Simulink仿真平台,设置了不同工况进行动态功率调控仿真分析,结果表明优化策略有效地降低了并网功率波动,提高了储能系统的响应效率,为建筑光伏储能一体化系统的优化设计提供了技术支撑,并为新能源高效利用及分布式能源系统的发展提供了借鉴。
The coordinated optimization operation of photovoltaic systems and building energy storage systems is of great significance for improving the self-sufficiency rate of building energy,peak shaving and valley filling,and enhancing energy utilization efficiency.This study focuses on the energy scheduling problem of photovoltaic energy storage collaborative operation,constructs a multi-objective optimization scheduling model,and designs an intelligent energy management algorithm to balance the volatility of photovoltaic power generation with the charging and discharging strategies of the energy storage system.The study adopt MATLAB/Simulink simulation platform to conduct dynamic power control simulation analysis under different operating conditions.The results indicate that the optimization strategy effectively reduces grid connected power fluctuations,improves the response efficiency of energy storage systems,and provide technical support for the optimization design of integrated photovoltaic energy storage systems in buildings,as well as provide reference for the efficient utilization of new energy and the development of distributed energy systems.
作者
张峻菠
ZHANG Jun-bo(Guizhou Provincial Institute of Architectural Design and Research Co., Ltd.)
出处
《智能建筑与智慧城市》
2025年第8期131-133,共3页
Intelligent Building & Smart City
关键词
光伏系统
建筑储能
协同优化
能量管理
仿真分析
photovoltaic system
building energy storage
collaborative optimization
energy management
simulation analysis
