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Planning, Operation, and Design of Market-Based Virtual Power Plant Considering Uncertainty

Author

Listed:
  • Zahid Ullah

    (Institute for Globally Distributed Open Research and Education (IGDORE), Cleveland, Middlesbrough TS1 4JE, UK)

  • Arshad

    (School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK)

  • Hany Hassanin

    (School of Engineering, Technology, and Design, Canterbury Christ Church University, Kent CT1 1QU, UK)

  • James Cugley

    (School of Engineering, Technology, and Design, Canterbury Christ Church University, Kent CT1 1QU, UK)

  • Mohammed Al Alawi

    (School of Engineering, Technology, and Design, Canterbury Christ Church University, Kent CT1 1QU, UK)

Abstract

The power systems of today seem inseparable from clean energy sources such as wind turbines (WTs) and photovoltaics (PVs). However, due to their uncertain nature, operational challenges are expected when WT and PV energy is added to the electricity network. It is necessary to introduce new technologies to compensate for the intermittent nature of renewable energy sources (RESs). Therefore, rationally implementing a demand response (DR) program with energy storage systems (ESSs) in a virtual power plant (VPP) environment is recommended as a way forward to minimize the volatile nature of RESs and improve power system reliability. Our proposed approach aims to maximize social welfare (SW) (i.e., maximization of consumer benefits while minimizing energy costs). Our method assesses the impact of the DR program on SW maximization. Two scenarios are examined, one with and one without a DR program. Stochastic programming theory is used to address the optimization problem. The uncertain behavior of WTs, PVs, and load demand is modeled using a scenario-based approach. The correctness of the proposed approach is demonstrated on a 16-bus UK generic distribution system. Our results show that SW and active power dispatch capacity of WT, PV, and ESS are fairly increased using the proposed approach.

Suggested Citation

  • Zahid Ullah & Arshad & Hany Hassanin & James Cugley & Mohammed Al Alawi, 2022. "Planning, Operation, and Design of Market-Based Virtual Power Plant Considering Uncertainty," Energies, MDPI, vol. 15(19), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7290-:d:933180
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    References listed on IDEAS

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    Cited by:

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    7. Zahid Ullah & Arshad & Jawad Ahmad, 2022. "The Development of a Cross-Border Energy Trade Cooperation Model of Interconnected Virtual Power Plants Using Bilateral Contracts," Energies, MDPI, vol. 15(21), pages 1-16, November.

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