Energy storage capacity optimization of wind-PV-energy storage systems for buildings considering battery life loss

doi:10.3969/j.issn.2097-0706.2024.11.008

Abstract

Abstract:

Driven by the "dual carbon" goal， the development of smart buildings incorporating wind power，PV power， and other new energy sources alongside energy storage has become an important approach to promoting the consumption of distributed renewable energy. Reasonable configuration of energy storage can be decided based on the complementarity of wind power，PV power and load， and net load of buildings can be regulated by"charing the battery during off-peak hours and discharging the battery during peak hours"， thereby enhancing the operational economy of buildings equipped with wind‒PV‒storage systems. A capacity optimization model for the energy storage device in smart buildings with wind‒PV‒energy storage systems was proposed， considering the battery life loss. Focusing on the impact of depth of discharge and cycle time on battery service life， a daily loss cost model for the energy storage device is established. To minimize total investment and operation and maintenance costs， an capacity optimization model for the battery of the building with wind‒PV‒energy storage systems was established， meeting various constraints for operation on typical days. To address the nonlinear terms in life loss model solving， piecewise linearization and binary expansion methods were successively employed， converting the model into a mixed-integer linear programming problem. A case study was conducted on a commercial building in Jiangsu to validate the effectiveness of this storage capacity optimization model considering life loss.

Key words: battery energy storage system, life loss, capacity optimization, wind‒PV‒energy storage system, smart building, "dual carbon" goal, depth of discharge

CLC Number:

TK01

FAN Pengcheng, ZHANG Yifan, YIN Wenqian, SHI Jiahao, YE Jilei. Energy storage capacity optimization of wind-PV-energy storage systems for buildings considering battery life loss[J]. Integrated Intelligent Energy, 2024, 46(11): 65-72.

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设备	参数	数值
电池储能装置	日均自损耗率/%	0.01
	充/放电效率/%	95
	容量上限/(kW·h)	2 000
	容量下限/(kW·h)	0
	SOC	0.3
	蓄电池充放电功率限值/kW	200
光伏发电装置	维护成本/(元·kW^-1)	0.015
风力发电装置	维护成本/(元·kW^-1)	0.015