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Stochastic Unit Commitment Problem, Incorporating Wind Power and an Energy Storage System

Author

Listed:
  • Khalid Alqunun

    (Department of Electrical Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Tawfik Guesmi

    (Department of Electrical Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia
    National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia)

  • Abdullah F. Albaker

    (Department of Electrical Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Mansoor T. Alturki

    (Department of Electrical Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

Abstract

This paper presents a modified formulation for the wind-battery-thermal unit commitment problem that combines battery energy storage systems with thermal units to compensate for the power dispatch gap caused by the intermittency of wind power generation. The uncertainty of wind power is described by a chance constraint to escape the probabilistic infeasibility generated by classical approximations of wind power. Furthermore, a mixed-integer linear programming algorithm was applied to solve the unit commitment problem. The uncertainty of wind power was classified as a sub-problem and separately computed from the master problem of the mixed-integer linear programming. The master problem tracked and minimized the overall operation cost of the entire model. To ensure a feasible and efficient solution, the formulation of the wind-battery-thermal unit commitment problem was designed to gather all system operating constraints. The solution to the optimization problem was procured on a personal computer using a general algebraic modeling system. To assess the performance of the proposed model, a simulation study based on the ten-unit power system test was applied. The effects of battery energy storage and wind power were deeply explored and investigated throughout various case studies.

Suggested Citation

  • Khalid Alqunun & Tawfik Guesmi & Abdullah F. Albaker & Mansoor T. Alturki, 2020. "Stochastic Unit Commitment Problem, Incorporating Wind Power and an Energy Storage System," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:10100-:d:455630
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    References listed on IDEAS

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    2. Cheng-Ta Tsai & Yu-Shan Cheng & Kuen-Huei Lin & Chun-Lung Chen, 2021. "Effects of a Battery Energy Storage System on the Operating Schedule of a Renewable Energy-Based Time-of-Use Rate Industrial User under the Demand Bidding Mechanism of Taipower," Sustainability, MDPI, vol. 13(6), pages 1-15, March.

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