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A Review of Modern Computational Techniques and Their Role in Power System Stability and Control

Author

Listed:
  • Wilson Pavon

    (Engineering Department, Universidad Politécnica Salesiana, Quito 170525, Ecuador)

  • Manuel Jaramillo

    (Department of Electrical Engineering, Universidad Politécnica Salesiana, Quito 170525, Ecuador)

  • Juan C. Vasquez

    (AAU Energy Department, Center for Research on Microgrids (CROM), Aalborg Universitet (AAU), 9220 Aalborg, Denmark)

Abstract

This paper attempts to elucidate the transformative integration of computational techniques within power systems, underscoring their critical role in enhancing system modeling, control, and the efficient integration of renewable energy. It breaks down the two-sided nature of technological progress, highlighting both gains in operational efficiency and new challenges such as real-time processing, data management, and cybersecurity. Through meticulous analysis of query-based research patterns and mathematical frameworks, this study delves into the balancing act between specificity and breadth in scholarly inquiries while evaluating the impact and evolution of research trends through citation analysis. The convergence of interests and transient research trends is evident, particularly in Artificial Intelligence and optimization. This comprehensive narrative anticipates a sophisticated trajectory for power systems, advocating for continuous innovation and strategic research to foster sustainable, resilient, and intelligent energy networks.

Suggested Citation

  • Wilson Pavon & Manuel Jaramillo & Juan C. Vasquez, 2023. "A Review of Modern Computational Techniques and Their Role in Power System Stability and Control," Energies, MDPI, vol. 17(1), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:177-:d:1309317
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    References listed on IDEAS

    as
    1. Gondia Sokhna Seck & Vincent Krakowski & Edi Assoumou & Nadia Maïzi & Vincent Mazauric, 2020. "Embedding power system's reliability within a long-term Energy System Optimization Model: Linking high renewable energy integration and future grid stability for France by 2050," Post-Print hal-02418375, HAL.
    2. Seck, Gondia Sokhna & Krakowski, Vincent & Assoumou, Edi & Maïzi, Nadia & Mazauric, Vincent, 2020. "Embedding power system’s reliability within a long-term Energy System Optimization Model: Linking high renewable energy integration and future grid stability for France by 2050," Applied Energy, Elsevier, vol. 257(C).
    3. Guerra, K. & Haro, P. & Gutiérrez, R.E. & Gómez-Barea, A., 2022. "Facing the high share of variable renewable energy in the power system: Flexibility and stability requirements," Applied Energy, Elsevier, vol. 310(C).
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