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Improving power grid performance using parallel connected Compressed Air Energy Storage and wind turbine system

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  • Hasan, Nor Shahida
  • Hassan, Mohammad Yusri
  • Abdullah, Hayati
  • Rahman, Hasimah Abdul
  • Omar, Wan Zaidi Wan
  • Rosmin, Norzanah

Abstract

Wind energy is boundless renewable energy which can be tapped continuously. It is clean and free energy in comparison with conventional fossil fuels. However, the high stochastic nature of the wind could affect the power quality of a grid system fed from a wind turbine system. Compressed Air Energy Storage (CAES) is a mature energy storage technology for handling wind fluctuation problems such that the generated energy could be supplied to the grid without affecting grid performance. This paper proposes a parallel connection of the CAES with a wind turbine to provide a continuous supply to the grid system with reduced wind power input fluctuations. Analysis was carried out using MATLAB Simulink to study the effectiveness of the parallel CAES system with changes in wind speed. The results were focussed on the grid's voltage and active power. The results showed that the proposed parallel CAES system was able to smooth out wind power fluctuations and able to provide continuous power supply to the grid system with lower power consumption during the CAES compression process when compared to the series CAES system.

Suggested Citation

  • Hasan, Nor Shahida & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Omar, Wan Zaidi Wan & Rosmin, Norzanah, 2016. "Improving power grid performance using parallel connected Compressed Air Energy Storage and wind turbine system," Renewable Energy, Elsevier, vol. 96(PA), pages 498-508.
    • Handle: RePEc:eee:renene:v:96:y:2016:i:pa:p:498-508
    DOI: 10.1016/j.renene.2016.04.088
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    Cited by:

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    2. Tong, Zheming & Cheng, Zhewu & Tong, Shuiguang, 2021. "A review on the development of compressed air energy storage in China: Technical and economic challenges to commercialization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Prajapati, Vijaykumar K. & Mahajan, Vasundhara, 2021. "Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources," Energy, Elsevier, vol. 215(PB).
    4. Huan Guo & Haoyuan Kang & Yujie Xu & Mingzhi Zhao & Yilin Zhu & Hualiang Zhang & Haisheng Chen, 2023. "Review of Coupling Methods of Compressed Air Energy Storage Systems and Renewable Energy Resources," Energies, MDPI, vol. 16(12), pages 1-22, June.
    5. Agalar, Sener & Kaplan, Yusuf Alper, 2018. "Power quality improvement using STS and DVR in wind energy system," Renewable Energy, Elsevier, vol. 118(C), pages 1031-1040.
    6. Rahmanifard, Hamid & Plaksina, Tatyana, 2019. "Hybrid compressed air energy storage, wind and geothermal energy systems in Alberta: Feasibility simulation and economic assessment," Renewable Energy, Elsevier, vol. 143(C), pages 453-470.
    7. Yan, Zhe & Zhang, Yongming & Liang, Runqi & Jin, Wenrui, 2020. "An allocative method of hybrid electrical and thermal energy storage capacity for load shifting based on seasonal difference in district energy planning," Energy, Elsevier, vol. 207(C).
    8. Moradi, Jalal & Shahinzadeh, Hossein & Khandan, Amirsalar & Moazzami, Majid, 2017. "A profitability investigation into the collaborative operation of wind and underwater compressed air energy storage units in the spot market," Energy, Elsevier, vol. 141(C), pages 1779-1794.
    9. Tong, Shuiguang & Cheng, Zhewu & Cong, Feiyun & Tong, Zheming & Zhang, Yidong, 2018. "Developing a grid-connected power optimization strategy for the integration of wind power with low-temperature adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 125(C), pages 73-86.
    10. Han, Zhonghe & Guo, Senchuang, 2018. "Investigation of operation strategy of combined cooling, heating and power(CCHP) system based on advanced adiabatic compressed air energy storage," Energy, Elsevier, vol. 160(C), pages 290-308.

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