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Co-Optimization of Energy and Reserve Capacity Considering Renewable Energy Unit with Uncertainty

Author

Listed:
  • Muhammad Wajahat Hassan

    (Department of Electronics and Electrical Systems, The University of Lahore, Lahore 54000, Pakistan)

  • Muhammad Babar Rasheed

    (Department of Electronics and Electrical Systems, The University of Lahore, Lahore 54000, Pakistan)

  • Nadeem Javaid

    (Department of Computer Science, COMSATS University, Islamabad 44000, Pakistan)

  • Waseem Nazar

    (Department of Electronics and Electrical Systems, The University of Lahore, Lahore 54000, Pakistan)

  • Muhammad Akmal

    (Department of Electrical and Power Engineering, Sheffield Hallam University, Sheffield S1 1WB, UK)

Abstract

This paper proposes a system model for optimal dispatch of the energy and reserve capacity considering uncertain load demand and unsteady power generation. This implicates uncertainty in managing the power demand along with the consideration of utility, user and environmental objectives. The model takes into consideration a day-ahead electricity market that involves the varying power demand bids and generates a required amount of energy in addition with reserve capacity. The lost opportunity cost is also considered and incorporated within the context of expected load not served. Then, the effects of combined and separate dispatching the energy and reserve are investigated. The nonlinear cost curves have been addressed by optimizing the objective function using robust optimization technique. Finally, various cases in accordance with underlying parameters have been considered in order to conduct and evaluate numerical results. Simulation results show the effectiveness of proposed scheduling model in terms of reduced cost and system stability.

Suggested Citation

  • Muhammad Wajahat Hassan & Muhammad Babar Rasheed & Nadeem Javaid & Waseem Nazar & Muhammad Akmal, 2018. "Co-Optimization of Energy and Reserve Capacity Considering Renewable Energy Unit with Uncertainty," Energies, MDPI, vol. 11(10), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2833-:d:177099
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    References listed on IDEAS

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    1. Tabassum-Abbasi, & Premalatha, M. & Abbasi, Tasneem & Abbasi, S.A., 2014. "Wind energy: Increasing deployment, rising environmental concerns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 270-288.
    2. Chen, Cliff & Wiser, Ryan & Mills, Andrew & Bolinger, Mark, 2009. "Weighing the costs and benefits of state renewables portfolio standards in the United States: A comparative analysis of state-level policy impact projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 552-566, April.
    3. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "Real-time economic dispatch for the supply side of the energy-water nexus," Applied Energy, Elsevier, vol. 122(C), pages 42-52.
    4. Alexander Kies & Bruno U. Schyska & Lueder Von Bremen, 2016. "Curtailment in a Highly Renewable Power System and Its Effect on Capacity Factors," Energies, MDPI, vol. 9(7), pages 1-18, June.
    5. Alsumait, J.S. & Sykulski, J.K. & Al-Othman, A.K., 2010. "A hybrid GA-PS-SQP method to solve power system valve-point economic dispatch problems," Applied Energy, Elsevier, vol. 87(5), pages 1773-1781, May.
    6. Breton, Simon-Philippe & Moe, Geir, 2009. "Status, plans and technologies for offshore wind turbines in Europe and North America," Renewable Energy, Elsevier, vol. 34(3), pages 646-654.
    7. Juan M. Morales & Antonio J. Conejo & Henrik Madsen & Pierre Pinson & Marco Zugno, 2014. "Integrating Renewables in Electricity Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4614-9411-9, September.
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    Cited by:

    1. Kristina Pandžić & Ivan Pavić & Ivan Andročec & Hrvoje Pandžić, 2020. "Optimal Battery Storage Participation in European Energy and Reserves Markets," Energies, MDPI, vol. 13(24), pages 1-21, December.

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