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Low Inertia Systems Frequency Variation Reduction with Fine-Tuned Smart Energy Controllers

Author

Listed:
  • Minas Patsalides

    (FOSS Research Centre for Sustainable Energy, University of Cyprus, 1678 Nicosia, Cyprus)

  • Christina N. Papadimitriou

    (FOSS Research Centre for Sustainable Energy, University of Cyprus, 1678 Nicosia, Cyprus)

  • Venizelos Efthymiou

    (FOSS Research Centre for Sustainable Energy, University of Cyprus, 1678 Nicosia, Cyprus)

Abstract

The distributed and stochastic nature of Renewable Power Sources is certainly forming considerable challenges for the operation of the power system. Specifically, the stability of the system can be jeopardized when the penetration of inverter-based systems is high. Storage and the proper design of controllers is seen as part of the solution for supporting the future expansion of distributed systems. Thus, control strategies need to be designed to provide the appropriate support to the system and be capable of keeping the variation of the frequency within limits to keep the reliability of the system as high as possible. The main challenge is the appropriate parameterization of these distributed controllers and their coordination under the integrated grid approach in securing the stability of the system at all times. In this paper, a smart energy controller is utilized and incorporated into the projection case study for Cyprus’ real distribution grid for the year 2050 to evaluate its behavior and identify possible weaknesses in its usage. It was found that the parameterization and not only the architecture of such controllers is crucial in coping with the frequency variation and stability problem. From the simulation work and recorded results, it was observed that the smart energy controllers can maintain frequency variation within the desirable range when the parametrization of the controllers is chosen appropriately. This specific observation highlights the need to evaluate and configure the smart controllers while operating in the field, and possibly further research is required to provide the advanced capability to such systems to adjust dynamically during field operation, thereby achieving better response during abnormal conditions.

Suggested Citation

  • Minas Patsalides & Christina N. Papadimitriou & Venizelos Efthymiou, 2021. "Low Inertia Systems Frequency Variation Reduction with Fine-Tuned Smart Energy Controllers," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2979-:d:513584
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    References listed on IDEAS

    as
    1. Patsalides, Minas & Efthymiou, Venizelos & Stavrou, Andreas & Georghiou, George E., 2016. "A generic transient PV system model for power quality studies," Renewable Energy, Elsevier, vol. 89(C), pages 526-542.
    2. Christina N. Papadimitriou & Nicholas A. Vovos, 2010. "Transient Response Improvement of Microgrids Exploiting the Inertia of a Doubly-Fed Induction Generator (DFIG)," Energies, MDPI, vol. 3(6), pages 1-18, June.
    3. Minas Patsalides & Christina N. Papadimitriou & Venizelos Efthymiou & Roberto Ciavarella & Marialaura Di Somma & Anna Wakszyńska & Michał Kosmecki & Giorgio Graditi & Maria Valenti, 2020. "Frequency Stability Evaluation in Low Inertia Systems Utilizing Smart Hierarchical Controllers," Energies, MDPI, vol. 13(13), pages 1-20, July.
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    Cited by:

    1. Mahmoud Aref & Almoataz Y. Abdelaziz & Zong Woo Geem & Junhee Hong & Farag K. Abo-Elyousr, 2023. "Oscillation Damping Neuro-Based Controllers Augmented Solar Energy Penetration Management of Power System Stability," Energies, MDPI, vol. 16(5), pages 1-21, March.

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