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

doi:10.11930/j.issn.1004-9649.202305114

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202305114

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

Figures/Tables 10

Fig.1 Topology of PEDF system applied in office building

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

Fig.2 Load data and PV data

Fig.3 Battery capacity configuration at maximum RSS

Fig.4 Overall system energy allocation when PE = 0.8

Fig.5 Battery capacity configuration at maximum α

Fig.6 Comparison of optimization results of two objective functions

Fig.7 System operation power on a typical day

Fig.8 AC/DC capacity configuration

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

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