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Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources

Author

Listed:
  • Gerardo J. Osório

    (C-MAST, University of Beira Interior, Calcada Fonte Lameiro, 6201-001 Covilha, Portugal)

  • Miadreza Shafie-khah

    (INESC-TEC, R. Dr. Roberto Frias, 4200-465 Porto, Portugal)

  • Mohamed Lotfi

    (INESC-TEC, R. Dr. Roberto Frias, 4200-465 Porto, Portugal
    Faculty of Engineering, University of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal)

  • Bernardo J. M. Ferreira-Silva

    (Faculty of Engineering, University of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal)

  • João P. S. Catalão

    (INESC-TEC, R. Dr. Roberto Frias, 4200-465 Porto, Portugal
    Faculty of Engineering, University of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal)

Abstract

The integration of renewable energy resources (RES) (such as wind and photovoltaic (PV)) on large or small scales, in addition to small generation units, and individual producers, has led to a large variation in energy production, adding uncertainty to power systems (PS) due to the inherent stochasticity of natural resources. The implementation of demand-side management (DSM) in distribution grids (DGs), enabled by intelligent electrical devices and advanced communication infrastructures, ensures safer and more economical operation, giving more flexibility to the intelligent smart grid (SG), and consequently reducing pollutant emissions. Consumers play an active and key role in modern SG as small producers, using RES or through participation in demand response (DR) programs. In this work, the proposed DSM model follows a two-stage stochastic approach to deal with uncertainties associated with RES (wind and PV) together with demand response aggregators (DRA). Three types of DR strategies offered to consumers are compared. Nine test cases are modeled, simulated, and compared in order to analyze the effects of the different DR strategies. The purpose of this work is to minimize DG operating costs from the Distribution System Operator (DSO) point-of-view, through the analysis of different levels of DRA presence, DR strategies, and price variations.

Suggested Citation

  • Gerardo J. Osório & Miadreza Shafie-khah & Mohamed Lotfi & Bernardo J. M. Ferreira-Silva & João P. S. Catalão, 2019. "Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources," Energies, MDPI, vol. 12(1), pages 1-23, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:1:p:143-:d:194334
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    References listed on IDEAS

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    Cited by:

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    2. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N., 2022. "Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    3. Elizaveta Gavrikova & Yegor Burda & Vladimir Gavrikov & Ruslan Sharafutdinov & Irina Volkova & Marina Rubleva & Daria Polosukhina, 2019. "Clean Energy Sources: Insights from Russia," Resources, MDPI, vol. 8(2), pages 1-25, May.

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