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Robust Optimization-Based Optimal Operation of Islanded Microgrid Considering Demand Response

Author

Listed:
  • Monir Sadat AlDavood

    (Science and Research Branch, Department of Electrical and Mechanical Engineering, Islamic Azad University, Tehran 14778-93855, Iran)

  • Abolfazl Mehbodniya

    (Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST), Doha Area, 7th Ring Road, Kuwait City 20185145, Kuwait)

  • Julian L. Webber

    (Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST), Doha Area, 7th Ring Road, Kuwait City 20185145, Kuwait)

  • Mohammad Ensaf

    (Chemical Engineering Department, Sharif University of Technology, Tehran 1136511155, Iran)

  • Mahdi Azimian

    (Department of Electrical and Computer Engineering, Kashan Branch, Islamic Azad University, Kashan 8715998151, Iran)

Abstract

This paper presents a new robust scheduling model for an islanded microgrid (MG) considering demand response. The model is expressed as a min–max bilevel optimization problem that tries to minimize the total costs of MG including operation cost of conventional distributed generators, energy storages, renewable energy sources (RES), cost of load shifting, and interruptible/non-interruptible load shedding in the worst situation of uncertainties. The uncertainties associated with renewable power generations and MG demand are modeled via robust optimization method. A hybrid method based on the genetic algorithm (GA) and mixed-integer programming technique is utilized to solve the bilevel optimization problem. The proposed model is utilized on a typical MG, and the outcomes are analyzed to show the effectiveness of the proposed method.

Suggested Citation

  • Monir Sadat AlDavood & Abolfazl Mehbodniya & Julian L. Webber & Mohammad Ensaf & Mahdi Azimian, 2022. "Robust Optimization-Based Optimal Operation of Islanded Microgrid Considering Demand Response," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14194-:d:958687
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    References listed on IDEAS

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    4. Weiqing Sun & Yao Gong & Jing Luo, 2023. "Energy Storage Configuration of Distribution Networks Considering Uncertainties of Generalized Demand-Side Resources and Renewable Energies," Sustainability, MDPI, vol. 15(2), pages 1-20, January.

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