Residential College | false |
Status | 已發表Published |
A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems | |
Dongdong Zhang1; Chunjiao Li 1; Hui Hwang Goh1; Tanveer Ahmad2,3; Hongyu Zhu1; Hui Liu1; Thomas Wu 1 | |
Source Publication | Renewable Energy |
ISSN | 0960-1481 |
2022-04 | |
Abstract | Cyber–physical systems (CPSs) are confronted with major problems, such as high proportions of renewable energy penetration and frequent extreme events, which severely restrict the stability of power systems. The key to solve these problems is the construction of a resilient power system. This study expounds on the development background and current situation of resilient CPSs from the perspectives of emerging technology and appropriate energy policy. Based on the foregoing, the importance of modeling in resilience research is highlighted, and the selection principles of different modeling methods are discussed. In addition, the optimal control strategies and methods applied to respond to extreme events in a three–stage power system are summarized, highlighting the application of optimal control strategies or emerging technologies for investigating simulations and actual systems. The study also focuses on the current development status of renewable energy and how variable renewable energy can reinforce power system resilience. Finally, in view of the gaps in the current CPS research, the key problems that must be resolved by future CPSs are identified. |
Keyword | Control Strategies Cyber–physical Systems Extreme Events Renewable Energy Resilience Uncertainty |
Language | 英語English |
DOI | 10.1016/j.renene.2022.03.096 |
URL | View the original |
Volume | 189 |
Pages | 1383-1406 |
WOS ID | WOS:000793378400006 |
WOS Subject | Green & Sustainable Science & Technology ; Energy & Fuels |
WOS Research Area | Science & Technology - Other Topics ; Energy & Fuels |
Indexed By | SCIE |
Scopus ID | 2-s2.0-85126872022 |
Fulltext Access | |
Citation statistics | |
Document Type | Review article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Dongdong Zhang; Thomas Wu |
Affiliation | 1.School of Electrical Engineering, Guangxi University, Nanning, China 2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, Macao 3.Energy Electricity Research Center, International Energy College, Jinan University, Zhuhai, Guangdong Province, China |
Recommended Citation GB/T 7714 | Dongdong Zhang,Chunjiao Li ,Hui Hwang Goh,et al. A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems[J]. Renewable Energy, 2022, 189, 1383-1406. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment