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Optimal Coordination of Wind Power and Pumped Hydro Energy Storage

Author

Listed:
  • Hussein M. K. Al-Masri

    (Department of Electrical Power Engineering, Yarmouk University, Irbid 21163, Jordan)

  • Ayman Al-Quraan

    (Department of Electrical Power Engineering, Yarmouk University, Irbid 21163, Jordan)

  • Ahmad AbuElrub

    (Department of Electrical Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan)

  • Mehrdad Ehsani

    (Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA)

Abstract

A study combining wind power with pumped hydro energy storage for the Jordanian utility grid is presented. Three solvers of the Matlab optimization toolbox are used to find the optimal solution for the cost of energy in a combined on-grid system. Genetic algorithm, simulated annealing (SA), and pattern search (PS) solvers are used to find the optimal solution. The GA solution of 0.0955388 $/kWh is economically feasible. This is 28.7% lower than the electricity purchased from the conventional utility grid. The discounted payback period to recover the total cost is 10.271 years. The suggested configuration is shown to be feasible by comparing it to real measurements for this case and a previous wind-only case. It is shown that the indicators of the optimal solution are improved. For instance, carbon dioxide emissions (E CO2 ) and conventional grid energy purchases are reduced by 24.69% and 24.68%, respectively. Moreover, it is shown that the benefits of adding hydro storage, combined with increasing the number of wind turbine units, reduces the cost of energy of renewables (COE Renewables ). Therefore, combining hydro storage with wind power is economically, environmentally, and technically a more efficient alternative to the conventional power generation.

Suggested Citation

  • Hussein M. K. Al-Masri & Ayman Al-Quraan & Ahmad AbuElrub & Mehrdad Ehsani, 2019. "Optimal Coordination of Wind Power and Pumped Hydro Energy Storage," Energies, MDPI, vol. 12(22), pages 1-15, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4387-:d:288374
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    References listed on IDEAS

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    1. Ahmad Abuelrub & Osama Saadeh & Hussein M. K. Al-Masri, 2018. "Scenario Aggregation-Based Grid-Connected Photovoltaic Plant Design," Sustainability, MDPI, vol. 10(4), pages 1-13, April.
    2. Foley, A.M. & Leahy, P.G. & Li, K. & McKeogh, E.J. & Morrison, A.P., 2015. "A long-term analysis of pumped hydro storage to firm wind power," Applied Energy, Elsevier, vol. 137(C), pages 638-648.
    3. Hammad, M. & Aburas, R. & Abuzahra, B., 1994. "The potential of hydropower generation in Jordan : Micro-hydropower analysis," Energy Policy, Elsevier, vol. 22(6), pages 523-530, June.
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    Cited by:

    1. Mariano G. Ippolito & Fabio Massaro & Rossano Musca & Gaetano Zizzo, 2021. "An Original Control Strategy of Storage Systems for the Frequency Stability of Autonomous Grids with Renewable Power Generation," Energies, MDPI, vol. 14(15), pages 1-22, July.
    2. Hossam A. Gabbar & Muhammad R. Abdussami & Md. Ibrahim Adham, 2020. "Micro Nuclear Reactors: Potential Replacements for Diesel Gensets within Micro Energy Grids," Energies, MDPI, vol. 13(19), pages 1-38, October.
    3. Hiba H. Darwish & Ayman Al-Quraan, 2023. "Machine Learning Classification and Prediction of Wind Estimation Using Artificial Intelligence Techniques and Normal PDF," Sustainability, MDPI, vol. 15(4), pages 1-29, February.
    4. Akram Qashou & Sufian Yousef & Abdallah A. Smadi & Amani A. AlOmari, 2021. "Distribution system power quality compensation using a HSeAPF based on SRF and SMC features," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 976-989, October.
    5. Ayman Al-Quraan & Muhannad Al-Qaisi, 2021. "Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System," Energies, MDPI, vol. 14(16), pages 1-23, August.
    6. Woo-Jung Kim & Yu-Seok Lee & Yeong-Han Chun & Hae-Seong Jeong, 2022. "Reserve-Constrained Unit Commitment Considering Adjustable-Speed Pumped-Storage Hydropower and Its Economic Effect in Korean Power System," Energies, MDPI, vol. 15(7), pages 1-23, March.

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