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

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Article number177
JournalEnergies
Volume17
Issue number1
DOIs
StatePublished - Jan 2024

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • computational techniques
  • control strategies
  • cybersecurity in power networks
  • data management
  • machine learning applications
  • optimization algorithms
  • powersystems stability
  • real-time system control
  • renewable energy integration
  • system modeling efficiency

CACES Knowledge Areas

  • 317A Electricity and Energy

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