Optimal battery storage capacity planning model and DOD regulation strategy for islanded microgrid based on distributed generation and a microturbine

Gong Wang, Ke Dong, Yuanhua Song, Shengxian Cao, Jie Duan, Guichao Duan, Dan Wu and Shaofan Li

Energy, 2025, vol. 332, issue C

Abstract: To achieve universal access to electricity and accelerate the electrification process in developing countries, distributed generation technology and microturbines (MTs) are being combined to establish small islanded microgrids. However, the reliability of such systems is greatly affected by major MT failure. To achieve the designed reliability target, a system needs to be equipped with a high-capacity battery energy storage system (BESS), which reduces the economic benefit of the system. In this paper, an optimal BESS capacity planning model and depth of discharge (DOD) regulation strategy are proposed to improve the operation reliability and the economic benefit of the system. First, a system model is proposed based on the repair time of the MT, considering variations in maintenance times. Subsequently, the capacity planning model is proposed based on monte carlo reliability assessment algorithm to accurately obtain the minimum actual available capacity of BESS required in different periods of seasons to achieve the designed reliability level. Finally, the DOD regulation strategy is proposed to reduce the annual number of cycles of BESS and extend its service life. The proposed model and strategy provide a better direction for further research in the field of capacity planning and intelligent control of BESS.

Keywords: Reliability assessment; Islanded microgrid; Microturbine; Depth of discharge; Capacity planning (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225028427
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:332:y:2025:i:c:s0360544225028427

DOI: 10.1016/j.energy.2025.137200

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().