Power System Stability With High Penetration of Renewable Energy Sources: Challenges, Assessment, and Mitigation Strategies
Author | Ali, Jana Sheikh |
Author | Qiblawey, Yazan |
Author | Alassi, Abdulrahman |
Author | Massoud, Ahmed M. |
Author | Muyeen, S. M. |
Author | Abu-Rub, Haitham |
Available date | 2025-06-22T10:43:18Z |
Publication Date | 2025-01-01 |
Publication Name | IEEE Access |
Identifier | http://dx.doi.org/10.1109/ACCESS.2025.3546491 |
Citation | J. S. Ali, Y. Qiblawey, A. Alassi, A. M. Massoud, S. M. Muyeen and H. Abu-Rub, "Power System Stability With High Penetration of Renewable Energy Sources: Challenges, Assessment, and Mitigation Strategies," in IEEE Access, vol. 13, pp. 39912-39934, 2025, doi: 10.1109/ACCESS.2025.3546491. |
Abstract | The incorporation of renewable energy sources (RESs) into power systems has significantly increased in recent years due to growing environmental, economic, and energy security concerns, posing new challenges for power system stability. This paper first presents a modified stability categories classification for power systems with increased RES penetration, distinguishing between fundamental and non-fundamental stability. Moreover, the paper comprehensively surveys the existing techniques for evaluating power system stability (PSS) with high RES penetration. It highlights key factors, such as the level of RES penetration, network topology, assessment and mitigation strategies, and the simulation tools used. The PSS methodologies in the literature are categorized into three main categories: model-based, optimization-based, and artificial intelligence (AI)-based approaches. This survey aims to equip researchers and practitioners with a coherent framework for navigating PSS assessment techniques. It offers promising avenues and insights into future research directions and related challenges, particularly addressing PSS with increased RESs penetration. |
Sponsor | 10.13039/501100018818-Second Cycle of ARG from Qatar Research, Development and Innovation Council, Qatar (Grant Number: ARG02-0416-240192). Open Access funding is provided by the Qatar National Library. Iberdrola S. A. as part of its Innovation Department Research Studies |
Language | en |
Publisher | IEEE |
Subject | AI-based approach high renewable energy penetration model approach optimization Power system stability |
Type | Article Review |
Pagination | 39912-39934 |
Volume Number | 13 |
ESSN | 2169-3536 |
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Electrical Engineering [2840 items ]