光伏办公建筑的关键设备容量配置方法

doi:10.11930/j.issn.1004-9649.202305114

中国电力 ›› 2024, Vol. 57 ›› Issue (3): 152-159, 169.DOI: 10.11930/j.issn.1004-9649.202305114

光伏办公建筑的关键设备容量配置方法

张雷¹(), 肖伟栋¹(), 蒋纯冰¹(), 刘耀¹(), 李少杰²(), 张吉²()

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

收稿日期:2023-05-14 录用日期:2023-08-12 发布日期:2024-03-23 出版日期:2024-03-28
作者简介:张雷（1983—），男，硕士，高级工程师，从事调度运行管理研究，E-mail：zhangleincgc@sina.com
肖伟栋（1987—），男，硕士，高级工程师，从事电力系统调度运行、电力现货市场、源网荷储友好互动研究，E-mail：272494291@qq.com
张吉（1993—），女，通信作者，博士，助理研究员，从事建筑新能源系统与建筑节能研究，E-mail：zjthu@tsinghua.edu.cn
基金资助:
国家电网有限公司华北分部软科学项目（基于动态碳排放因子的源荷互动指标体系设计与响应机制研究，RKX202212）；国家重点研发计划资助项目（建筑直流机电设备工程应用与检测评价，2022YFC3802505）。

Capacity Allocation Method of Key Equipment in PV System Applied in Office Buildings

Lei ZHANG¹(), Weidong XIAO¹(), Chunbing JIANG¹(), Yao LIU¹(), Shaojie LI²(), Ji ZHANG²()

1. North China Branch of State Grid Corporation of China, Beijing 100053, China
2. Building Environment Research Center, Tsinghua University, Beijing 100084, China

Received:2023-05-14 Accepted:2023-08-12 Online:2024-03-23 Published:2024-03-28
Supported by:
This work is supported by the Soft Science Project of the North China Branch of State Grid Corporation of China (Indicator Design and Response Mechanism of Source Load Interaction Based on Dynamic Carbon Emission Factors, No.RKX202212), and National Key Research and Development Programme of China (Engineering Application and Testing Evaluation of Building DC Electromechanical Equipments, No.2022YFC3802505).

摘要/Abstract

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。

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

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%.

Key words: office building, PEDF, capacity configuration, battery, AC/DC, electric vehicle

张雷, 肖伟栋, 蒋纯冰, 刘耀, 李少杰, 张吉. 光伏办公建筑的关键设备容量配置方法[J]. 中国电力, 2024, 57(3): 152-159, 169.

Lei ZHANG, Weidong XIAO, Chunbing JIANG, Yao LIU, Shaojie LI, Ji ZHANG. Capacity Allocation Method of Key Equipment in PV System Applied in Office Buildings[J]. Electric Power, 2024, 57(3): 152-159, 169.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305114

https://www.electricpower.com.cn/CN/Y2024/V57/I3/152

图/表 10

图 1 办公建筑光储直柔系统拓扑结构

Fig.1 Topology of PEDF system applied in office building

表 1 关键设备参数

Table 1 Key equipment parameter

设备	参数	数值
储能	充/放电效率/%	95
	S_OCmax	0.95
	S_OCmin	0.1
	电池充放电倍率/C	0.5
电动汽车	P_EV,max/kW	5
AC/DC	K	1.2

图 2 负荷数据和光伏数据

Fig.2 Load data and PV data

图 3 最大化RSS时储能容量配置

Fig.3 Battery capacity configuration at maximum RSS

图 4 PE=0.8时系统能量整体分配示意

Fig.4 Overall system energy allocation when PE = 0.8

图 5 最大化α时储能容量配置

Fig.5 Battery capacity configuration at maximum α

图 6 2种目标函数优化结果对比

Fig.6 Comparison of optimization results of two objective functions

图 7 典型天系统运行功率

Fig.7 System operation power on a typical day

图 8 AC/DC容量配置

Fig.8 AC/DC capacity configuration

图 9 充电桩数量对系统性能影响

Fig.9 Effect of EV's number on system performance

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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

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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

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