光伏办公建筑的关键设备容量配置方法
Capacity Allocation Method of Key Equipment in PV System Applied in Office Buildings
张雷 1肖伟栋 1蒋纯冰 1刘耀 1李少杰 2张吉2
作者信息
- 1. 国家电网有限公司华北分部,北京 100053
- 2. 清华大学建筑学院建筑节能研究中心,北京 100084
- 折叠
摘要
"双碳"目标下,建筑光储直柔(PEDF)系统迅速发展.城镇办公建筑具有光伏出力一般低于建筑用电负荷的特点,针对提高系统负荷供给率和用电曲线平滑性 2 种优化目标,研究了建筑PEDF系统中各类主要器件的设备容量配置方法,并对内部不同资源的协调配置与调控进行了分析,充分发挥储能和电动汽车的柔性能力,提高系统整体性能,为后续办公建筑PEDF系统发展提供借鉴和参考.结果表明,建筑PEDF系统配置部分储能可大大提高系统负荷供给率和用电平滑性,降低AC/DC容量配置,电动汽车充电桩在增加系统柔性调节能力的同时,可能带来新的用电尖峰负荷.配置约 0.2 倍日均负荷的储能容量即可实现90%以上的光伏消纳,用电曲线平稳性有效提高,同时可降低29.1%的AC/DC容量.
Abstract
With the goal of carbon peak and carbon neutrality,the photovoltaics,energy storage,direct current,and flexibility(PEDF)system applied in buildings is developing rapidly.The photovoltaic output in urban office buildings is generally lower than the building electricity load.In view of the two optimization objectives of improving the system load supply rate and the smoothness of the electricity curve,this paper studies the equipment capacity allocation methods of various main devices in the PEDF system.In addition,the coordinated configuration and regulation of different internal resources are analyzed,so as to give full play to the flexible capabilities of energy storage and electric vehicles,improve the overall performance of the system,and provide a reference for the subsequent development of the PEDF system in office buildings.The results show that the configuration of the PEDF system in the building can greatly improve the system's self-sufficiency rate and power smoothness and reduce the AC/DC capacity configuration.While increasing the system's flexible adjustment ability,the charging pile for electric vehicles may bring a new peak power load.The energy storage capacity of about 0.2 times the daily load can achieve more than 90%photovoltaic consumption,effectively improving the power curve stability and reducing the AC/DC capacity by 29.1%.
关键词
办公建筑/光储直柔系统/容量配置/储能/AC/DC/电动汽车Key words
office building/PEDF/capacity configuration/battery/AC/DC/electric vehicle引用本文复制引用
基金项目
国家电网华北分部软科学研究计划(RKX202212)
国家重点研发计划(2022YFC3802505)
出版年
2024
国家科技期刊平台
NSTL
万方数据