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

Author

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

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.

Suggested Citation

  • Wang, Gong & Dong, Ke & Song, Yuanhua & Cao, Shengxian & Duan, Jie & Duan, Guichao & Wu, Dan & Li, Shaofan, 2025. "Optimal battery storage capacity planning model and DOD regulation strategy for islanded microgrid based on distributed generation and a microturbine," Energy, Elsevier, vol. 332(C).
  • Handle: RePEc:eee:energy:v:332:y:2025:i:c:s0360544225028427
    DOI: 10.1016/j.energy.2025.137200
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