Distributed energy resource coordination for a microgrid over unreliable communication network with doS attacks

Abstract

This article studies the coordination economic dispatch problem (EDP) for distributed energy resources. To minimise the total operating cost under various constraints, a switched distributed coordination algorithm is presented to solve the EDP over the unreliable communication network with the Denial-of-Service (DoS) attacks. In this situation, the proposed algorithm integrates the normal mode and the attack mode. The attackers can make the communication network unconnected and destroy the convergence and optimality in the attack mode. In order to explore under what conditions the optimal solution can still be obtained, we model the attack modes by differential inclusions and use an average dwell-time automaton and time-ratio monitor to limit the DoS attacks. Then, the switched distributed algorithm is modelled as a hybrid dynamical system. Furthermore, some conditions are derived to guarantee the exponential convergence of the proposed algorithm under DoS attacks. Finally, simulation results tested on the IEEE 30-bus power system illustrate the effectiveness of the proposed algorithm.

Keywords:

• Cyber-attacks
• distributed coordination
• economic dispatch
• microgrid

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analysed in this study.

Additional information

Funding

This work was supported in part by the Funds of the National Key Research and Development Program of China [grant number 2020YFE0201100], the National Natural Science Foundation of China [grant numbers 61621004 and U1908213] and the Research Fund of State Key Laboratory of Synthetical Automation for Process Industries [grant number 2018ZCX03].

Notes on contributors

Li-Ning Liu

Li-Ning Liu received the B.S. degree in electrical engineering and automation from China University of Petroleum, Qingdao, China, in 2016 and the M.S. degree in electrical engineering from Northeastern University, Shenyang, in 2020, where he is currently pursuing the Ph.D. degree in control theory and control engineering. His current research interests include distributed control and optimisation in microgrids, smart grid and the energy internet, and cyber-physical power systems.

Guang-Hong Yang

Guang-Hong Yang received his B.S. and M.S. degrees in Mathematics, and Ph.D. degree in control theory and control engineering with Northeastern University, Shenyang, China, in 1983, 1986 and 1994, respectively. He is currently a chair professor and the dean with the College of Information Science and Engineering, Northeastern University. He is an IEEE Fellow and a Fellow of Chinese Association of Automation (CAA). Dr. Yang has been a general chair of the annual Chinese Control and Decision Conference (CCDC) since 2011, and is the Editor-in-Chief for the Journal of Control and Decision, an Editor for the International Journal of Control, Automation (IJCAS), and the Chair of the Technical Committee on Control and Decision for Cyber-Physcial Systems, CAA. His current research interests include fault-tolerant control, fault detection and isolation, safety of cyber-physical systems, and unmanned systems. He has published 3 monographs and over 400 papers in the international journals, and is a highly cited researcher (since 2019) selected by Clarivate.