The Journal of Engineering (Nov 2023)

Hybrid energy storage for the optimized configuration of integrated energy system considering battery‐life attenuation

  • Xianqiang Zeng,
  • Peng Xiao,
  • Yun Zhou,
  • Hengjie Li

DOI
https://doi.org/10.1049/tje2.12331
Journal volume & issue
Vol. 2023, no. 11
pp. n/a – n/a

Abstract

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Abstract To enhance the utilization of renewable energy and the economic efficiency of energy system's planning and operation, this study proposes a hybrid optimization configuration method for battery/pumped hydro energy storage considering battery‐lifespan attenuation in the regionally integrated energy system (RIES). Moreover, a two‐layer optimization model was established for integrated energy system planning and operation based on the combination of the Salp Swarm algorithm and mixed‐integer linear programming. Considering wind and solar energies and multiple loads, such as electricity, cooling, and heating, the first step in this paper involved the construction of a model for the RIES incorporating hybrid energy storage and various energy‐conversion devices. Then, given a synergy among different energy sources in the system, the long‐term impact of battery‐lifespan attenuation is introduced by including battery‐replacement costs. Based on the optimization results obtained from daily operations, a hybrid energy storage‐based optimization configuration model is established to minimize the annual operational and energy‐storage investment costs. The results show that, compared to the systems with a single pumped hydro storage or battery energy storage, the system with the hybrid energy storage reduces the total system cost by 0.33% and 0.88%, respectively. Additionally, the validity of the proposed method in enhancing the economic efficiency of system planning and operation is confirmed. Furthermore, a comparative analysis is conducted of the impact of battery‐lifespan degradation on the system's economic efficiency. The results show that during the system's operation phase, the total system cost is reduced by 9.97% considering battery‐lifespan degradation than that without considering the degradation.

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