A Review of Modern Computational Techniques and Their Role in Power System Stability and Control
Author:
Pavon Wilson1ORCID, Jaramillo Manuel2ORCID, Vasquez Juan C.3ORCID
Affiliation:
1. Engineering Department, Universidad Politécnica Salesiana, Quito 170525, Ecuador 2. Department of Electrical Engineering, Universidad Politécnica Salesiana, Quito 170525, Ecuador 3. 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.
Funder
Universidad Politécnica Salesiana-Ecuador
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference71 articles.
1. Dawood, K., Komurgoz, G., and Isik, F. (2022, January 24–26). Evaluation of the Electromagnetic Forces in the Zigzag Transformer using a Computational Method. Proceedings of the 2022 2nd International Conference on Digital Futures and Transformative Technologies, ICoDT2 2022, Rawalpindi, Pakistan. 2. Local Search-based Non-dominated Sorting Genetic Algorithm for Optimal Design of Multimachine Power System Stabilizers;Alshammari;Eng. Technol. Appl. Sci. Res.,2021 3. Gani, S.M.A., Islam, M.R., Shafiullah, M., Tayeb, J.H., Hossain, M.I., and Ali, A. (2022, January 24–26). Equilibrium Optimizer for LFO Damping in Multimachine Power System Networks. Proceedings of the 2022 International Conference on Advancement in Electrical and Electronic Engineering, ICAEEE 2022, Gazipur, Bangladesh. 4. Latif, S., Irshad, S., Kamarposhti, M.A., Shokouhandeh, H., Colak, I., and Eguchi, K. (2022). Intelligent Design of Multi-Machine Power System Stabilizers (PSSs) Using Improved Particle Swarm Optimization. Electronics, 11. 5. Islam, M.S., Islam, M.R., Shafiullah, M., and Azam, M.S. (2022, January 24–26). Dragonfly Algorithm for Robust Tuning of Power System Stabilizers in Multimachine Networks. Proceedings of the 2022 International Conference on Advancement in Electrical and Electronic Engineering, ICAEEE 2022, Gazipur, Bangladesh.
|
|