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Optimal Scheduling for Energy Storage Systems in Distribution Networks

Author

Listed:
  • Miquel Escoto

    (Instituto Tecnológico de la Energía (ITE), 46980 Paterna, Valencia, Spain)

  • Mario Montagud

    (Instituto Tecnológico de la Energía (ITE), 46980 Paterna, Valencia, Spain)

  • Noemi González

    (Instituto Tecnológico de la Energía (ITE), 46980 Paterna, Valencia, Spain)

  • Alejandro Belinchón

    (Instituto Tecnológico de la Energía (ITE), 46980 Paterna, Valencia, Spain)

  • Adriana Valentina Trujillo

    (Instituto Tecnológico de la Energía (ITE), 46980 Paterna, Valencia, Spain)

  • Julián Romero

    (Instituto Tecnológico de la Energía (ITE), 46980 Paterna, Valencia, Spain)

  • Julio César Díaz-Cabrera

    (Instituto Tecnológico de la Energía (ITE), 46980 Paterna, Valencia, Spain)

  • Marta Pellicer García

    (Instituto Tecnológico de la Energía (ITE), 46980 Paterna, Valencia, Spain)

  • Alfredo Quijano López

    (ITE, Universitat Politècnica de València, 46022 Valencia, Spain)

Abstract

Distributed energy storage may play a key role in the operation of future low-carbon power systems as they can help to facilitate the provision of the required flexibility to cope with the intermittency and volatility featured by renewable generation. Within this context, this paper addresses an optimization methodology that will allow managing distributed storage systems of different technology and characteristics in a specific distribution network, taking into account not only the technical aspects of the network and the storage systems but also the uncertainties linked to demand and renewable energy variability. The implementation of the proposed methodology will allow facilitating the integration of energy storage systems within future smart grids. This paper’s results demonstrate numerically the good performance of the developed methodology.

Suggested Citation

  • Miquel Escoto & Mario Montagud & Noemi González & Alejandro Belinchón & Adriana Valentina Trujillo & Julián Romero & Julio César Díaz-Cabrera & Marta Pellicer García & Alfredo Quijano López, 2020. "Optimal Scheduling for Energy Storage Systems in Distribution Networks," Energies, MDPI, vol. 13(15), pages 1-12, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3921-:d:392925
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    References listed on IDEAS

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    Cited by:

    1. Arul Rajagopalan & Dhivya Swaminathan & Meshal Alharbi & Sudhakar Sengan & Oscar Danilo Montoya & Walid El-Shafai & Mostafa M. Fouda & Moustafa H. Aly, 2022. "Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods," Energies, MDPI, vol. 15(23), pages 1-18, November.

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