TY - JOUR
T1 - A Review of Modern Computational Techniques and Their Role in Power System Stability and Control
AU - Pavon, Wilson
AU - Jaramillo, Manuel
AU - Vasquez, Juan C.
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2024/1
Y1 - 2024/1
N2 - 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.
AB - 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.
KW - computational techniques
KW - control strategies
KW - cybersecurity in power networks
KW - data management
KW - machine learning applications
KW - optimization algorithms
KW - powersystems stability
KW - real-time system control
KW - renewable energy integration
KW - system modeling efficiency
UR - http://www.scopus.com/inward/record.url?scp=85181847581&partnerID=8YFLogxK
U2 - 10.3390/en17010177
DO - 10.3390/en17010177
M3 - Review article
AN - SCOPUS:85181847581
SN - 1996-1073
VL - 17
JO - Energies
JF - Energies
IS - 1
M1 - 177
ER -