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Adaptive Fuzzy Control for Power-Frequency Characteristic Regulation in High-RES Power Systems

Author

Listed:
  • Evangelos Rikos

    (Centre for Renewable Energy Sources and Saving, Pikermi Attiki 19009, Greece)

  • Chris Caerts

    (Flemish Institute for Technological Research, Mol 2400, Belgium)

  • Mattia Cabiati

    (Ricerca sul Sistema Energetico-RSE S.p.A., Milano 20134, Italy)

  • Mazheruddin Syed

    (Institute for Energy and Environment, University of Strathclyde, Glasgow G1 1XQ, UK)

  • Graeme Burt

    (Institute for Energy and Environment, University of Strathclyde, Glasgow G1 1XQ, UK)

Abstract

Future power systems control will require large-scale activation of reserves at distribution level. Despite their high potential, distributed energy resources (DER) used for frequency control pose challenges due to unpredictability, grid bottlenecks, etc. To deal with these issues, this study presents a novel strategy of power frequency characteristic dynamic adjustment based on the imbalance state. This way, the concerned operators become aware of the imbalance location but also a more accurate redistribution of responsibilities in terms of reserves activations is achieved. The proposed control is based on the concept of “cells” which are power systems with operating capabilities and responsibilities similar to control areas (CAs), but fostering the use of resources at all voltage levels, particularly distribution grids. Control autonomy of cells allows increased RES hosting. In this study, the power frequency characteristic of a cell is adjusted in real time by means of a fuzzy controller, which curtails part of the reserves, in order to avoid unnecessary deployment throughout a synchronous area, leading to a more localised activation and reducing losses, congestions and reserves exhaustion. Simulation tests in a four-cell reference power system prove that the controller significantly reduces the use of reserves without compromising the overall stability.

Suggested Citation

  • Evangelos Rikos & Chris Caerts & Mattia Cabiati & Mazheruddin Syed & Graeme Burt, 2017. "Adaptive Fuzzy Control for Power-Frequency Characteristic Regulation in High-RES Power Systems," Energies, MDPI, vol. 10(7), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:982-:d:104444
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    References listed on IDEAS

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    1. Teng, Fei & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Zeng, Pingliang & Strbac, Goran, 2017. "Challenges on primary frequency control and potential solution from EVs in the future GB electricity system," Applied Energy, Elsevier, vol. 194(C), pages 353-362.
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    Cited by:

    1. Wei Wang & Yang Sun & Sitong Jing & Wenguang Zhang & Can Cui, 2018. "Improved Boiler-Turbine Coordinated Control of CHP Units with Heat Accumulators by Introducing Heat Source Regulation," Energies, MDPI, vol. 11(10), pages 1-15, October.
    2. Thomas I. Strasser & Sebastian Rohjans & Graeme M. Burt, 2019. "Methods and Concepts for Designing and Validating Smart Grid Systems," Energies, MDPI, vol. 12(10), pages 1-5, May.
    3. António Coelho & Filipe Soares & Julia Merino & Sandra Riaño & João Peças Lopes, 2018. "Control Room Requirements for Voltage Control in Future Power Systems," Energies, MDPI, vol. 11(7), pages 1-23, June.

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