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Optimizing hybrid power systems with compressed air energy storage

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  • Panda, Ambarish
  • Mishra, Umakanta
  • Aviso, Kathleen B.

Abstract

Concern for the environment necessitates the reduction in use of fossil fuels. A solution is to use more renewable power generation facilities. However, the intermittency of renewable energy makes operational scheduling challenging. An optimization model is developed here to determine the performance of a hydro-thermal-wind-solar hybrid power system with the possibility of integrating a compressed air energy storage system. The hybrid power system is implemented in the IEEE-30 bus system. Real-time operational constraints such as varying renewable power availability and disruptions are considered. The model was solved using the meta-heuristic approaches of differential evolution and modified bacteria foraging algorithm. Results indicate that the modified bacteria foraging algorithm arrived at better solutions, making it possible to achieve lower power loss, higher annual savings and reduced variability in voltage security. The best performance is obtained using a hybrid power system which incorporates the compressed air energy storage. Results indicate that higher renewable energy penetration with proper scheduling strategy can result in improvements in system performance.

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  • Panda, Ambarish & Mishra, Umakanta & Aviso, Kathleen B., 2020. "Optimizing hybrid power systems with compressed air energy storage," Energy, Elsevier, vol. 205(C).
    • Handle: RePEc:eee:energy:v:205:y:2020:i:c:s0360544220310690
    DOI: 10.1016/j.energy.2020.117962
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    5. Pattnaik, Ashribad & Dauda, Alpesh Kumar & Panda, Ambarish, 2023. "Optimal utilization of clean energy and its impact on hybrid power systems incorporating STATCOM and pumped hydro storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    6. Patel, Ismail & Shah, Adil & Shen, Boyang & Wei, Haigening & Hao, Luning & Hu, Jintao & Wang, Qi & Coombs, Tim, 2023. "Stochastic optimisation and economic analysis of combined high temperature superconducting magnet and hydrogen energy storage system for smart grid applications," Applied Energy, Elsevier, vol. 341(C).
    7. Guo, Chaobin & Li, Cai & Zhang, Keni & Cai, Zuansi & Ma, Tianran & Maggi, Federico & Gan, Yixiang & El-Zein, Abbas & Pan, Zhejun & Shen, Luming, 2021. "The promise and challenges of utility-scale compressed air energy storage in aquifers," Applied Energy, Elsevier, vol. 286(C).

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