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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.

Suggested Citation

  • 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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    1. Jurasz, Jakub & Ciapała, Bartłomiej, 2017. "Integrating photovoltaics into energy systems by using a run-off-river power plant with pondage to smooth energy exchange with the power gird," Applied Energy, Elsevier, vol. 198(C), pages 21-35.
    2. Fertig, Emily & Apt, Jay, 2011. "Economics of compressed air energy storage to integrate wind power: A case study in ERCOT," Energy Policy, Elsevier, vol. 39(5), pages 2330-2342, May.
    3. Panda, Ambarish & Tripathy, M., 2015. "Security constrained optimal power flow solution of wind-thermal generation system using modified bacteria foraging algorithm," Energy, Elsevier, vol. 93(P1), pages 816-827.
    4. Jamel, M.S. & Abd Rahman, A. & Shamsuddin, A.H., 2013. "Advances in the integration of solar thermal energy with conventional and non-conventional power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 71-81.
    5. Lee, Jui-Yuan & Aviso, Kathleen B. & Tan, Raymond R., 2019. "Multi-objective optimisation of hybrid power systems under uncertainties," Energy, Elsevier, vol. 175(C), pages 1271-1282.
    6. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    7. Khan, Faizan A. & Pal, Nitai & Saeed, Syed.H., 2018. "Review of solar photovoltaic and wind hybrid energy systems for sizing strategies optimization techniques and cost analysis methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 937-947.
    8. Acuña, Luceny Guzmán & Padilla, Ricardo Vasquez & Mercado, Alcides Santander, 2017. "Measuring reliability of hybrid photovoltaic-wind energy systems: A new indicator," Renewable Energy, Elsevier, vol. 106(C), pages 68-77.
    9. Theo, Wai Lip & Lim, Jeng Shiun & Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Ho, Wai Shin & Abdul-Manan, Zainuddin, 2016. "An MILP model for cost-optimal planning of an on-grid hybrid power system for an eco-industrial park," Energy, Elsevier, vol. 116(P2), pages 1423-1441.
    10. Prasad, A. Rajendra & Natarajan, E., 2006. "Optimization of integrated photovoltaic–wind power generation systems with battery storage," Energy, Elsevier, vol. 31(12), pages 1943-1954.
    11. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    12. Ismail Abubakar Jumare & Ramchandra Bhandari & Abdellatif Zerga, 2019. "Environmental Life Cycle Assessment of Grid-Integrated Hybrid Renewable Energy Systems in Northern Nigeria," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    13. Panda, Ambarish & Tripathy, M. & Barisal, A.K. & Prakash, T., 2017. "A modified bacteria foraging based optimal power flow framework for Hydro-Thermal-Wind generation system in the presence of STATCOM," Energy, Elsevier, vol. 124(C), pages 720-740.
    14. Wang, Xianxun & Mei, Yadong & Kong, Yanjun & Lin, Yuru & Wang, Hao, 2017. "Improved multi-objective model and analysis of the coordinated operation of a hydro-wind-photovoltaic system," Energy, Elsevier, vol. 134(C), pages 813-839.
    15. Anoune, Kamal & Bouya, Mohsine & Astito, Abdelali & Abdellah, Abdellatif Ben, 2018. "Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 652-673.
    16. Li, Jianwei & Yang, Qingqing & Robinson, Francis. & Liang, Fei & Zhang, Min & Yuan, Weijia, 2017. "Design and test of a new droop control algorithm for a SMES/battery hybrid energy storage system," Energy, Elsevier, vol. 118(C), pages 1110-1122.
    17. Massrur, Hamid Reza & Niknam, Taher & Aghaei, Jamshid & Shafie-khah, Miadreza & Catalão, João P.S., 2018. "A stochastic mid-term scheduling for integrated wind-thermal systems using self-adaptive optimization approach: A comparative study," Energy, Elsevier, vol. 155(C), pages 552-564.
    18. Chauhan, Anurag & Saini, R.P., 2014. "A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 99-120.
    19. Mazzeo, Domenico & Oliveti, Giuseppe & Baglivo, Cristina & Congedo, Paolo M., 2018. "Energy reliability-constrained method for the multi-objective optimization of a photovoltaic-wind hybrid system with battery storage," Energy, Elsevier, vol. 156(C), pages 688-708.
    20. Sadeghi, Saber & Askari, Ighball Baniasad, 2019. "Prefeasibility techno-economic assessment of a hybrid power plant with photovoltaic, fuel cell and Compressed Air Energy Storage (CAES)," Energy, Elsevier, vol. 168(C), pages 409-424.
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    5. Li, Peng & Hu, Qingya & Han, Zhonghe & Wang, Changxin & Wang, Runxia & Han, Xu & Wang, Yongzhen, 2022. "Thermodynamic analysis and multi-objective optimization of a trigenerative system based on compressed air energy storage under different working media and heating storage media," Energy, Elsevier, vol. 239(PD).
    6. 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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