A resilience-oriented centralised-to-decentralised framework for networked microgrids management. (15th February 2022)

• Record Type: Journal Article
• Authors: Ge, Pudong; Teng, Fei; Konstantinou, Charalambos; Hu, Shiyan
• Is Part Of: Applied energy. Volume 308(2022)
• Publication Date: 2022-02-15
• Subjects: Centralised-to-decentralised framework -- Resilience -- Microgrid -- Wireless communication -- Contingency response; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2021.118234
• Languages: English
• ISSNs: 0306-2619

Abstract

Abstract: This paper proposes a cyber–physical cooperative mitigation framework to enhance power systems resilience against power outages caused by extreme events, e.g., earthquakes and hurricanes. Extreme events can simultaneously damage the physical-layer electric power infrastructure and the cyber-layer communication facilities. Microgrid (MG) has been widely recognised as an effective physical-layer response to such events, however, the mitigation strategy in the cyber lay is yet to be fully investigated. Therefore, this paper proposes a resilience-oriented centralised-to-decentralised framework to maintain the power supply of critical loads such as hospitals, data centres, etc., under extreme events. For the resilient control, controller-to-controller (C2C) wireless network is utilised to form the emergency regional communication when centralised base station being compromised. Owing to the limited reliable bandwidth that reserved as a backup, the inevitable delays are dynamically minimised and used to guide the design of a discrete-time distributed control algorithm to maintain post-event power supply. The effectiveness of the cooperative cyber–physical mitigation framework is demonstrated through extensive simulations in MATLAB/Simulink. Graphical abstract: Highlights: A centralised-to-decentralised framework is proposed to tackle adverse cyber–physical effects (ACPEs) under extreme events. In the cyber layer, a dynamic resource allocation, over a limited wireless bandwidth, effectively and quantitatively optimises the non-negligible delays and informs the design of the control algorithm. A discrete-time distributed control system based on optimised distributed communication network simplifies the selection of control gains.