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Design optimization method for electricity-hydrogen energy storage system under uncertainties

Author

Listed:
  • Sun, Shuai
  • Huang, Kelei
  • Tong, Zhangfa
  • Jiang, Yinghua

Abstract

In this work, a design optimization method for hybrid power system with hybrid electricity-hydrogen energy storage system under uncertainties is established. Firstly, a novel approach for modeling the interdependencies between the solar and wind energy uncertainties and load uncertainty is developed. Then, a two-stage collaborative design optimization model is constructed, where the first stage is to size the renewable energy capacities, and the second stage is to determine the hybrid energy storage system capacity and power dispatching scheme by simultaneously considering economy and resilience. Finally, the effectiveness of the proposed method is verified through a case study of a photovoltaic-wind-battery-hydrogen hybrid power system. The results show that the proposed uncertainty models can exactly describe the randomness and fluctuation characteristics of the hybrid power system, and the total annual and operating costs of the system in trade-off point are 5.38 × 106 $ and 2.00 × 105 $. The battery energy storage system is better than the hydrogen one in the system, and the combination of the both ones is more beneficial for the improvement of the economy and resilience. Furthermore, the influences of the investment and operation costs on the hybrid power system are comprehensively analyzed and discussed.

Suggested Citation

  • Sun, Shuai & Huang, Kelei & Tong, Zhangfa & Jiang, Yinghua, 2026. "Design optimization method for electricity-hydrogen energy storage system under uncertainties," Renewable Energy, Elsevier, vol. 261(C).
    • Handle: RePEc:eee:renene:v:261:y:2026:i:c:s0960148126001321
    DOI: 10.1016/j.renene.2026.125307
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