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2023-07-19
Moradi, Majid, Heydari, Mojtaba, Zarei, Seyed Fariborz.  2022.  Distributed Secondary Control for Voltage Restoration of ESSs in a DC Microgrid. 2022 13th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC). :431—436.
Due to the intermittent nature of renewable energy sources, the implementation of energy storage systems (ESSs) is crucial for the reliable operation of microgrids. This paper proposes a peer-to-peer distributed secondary control scheme for accurate voltage restoration of distributed ESS units in a DC microgrid. The presented control framework only requires local and neighboring information to function. Besides, the ESSs communicate with each other through a sparse network in a discrete fashion compared to existing approaches based on continuous data exchange. This feature ensures reliability, expandability, and flexibility of the proposed strategy for a more practical realization of distributed control paradigm. A simulation case study is presented using MATLAB/Simulink to illustrate the performance and effectiveness of the proposed control strategy.
2022-03-23
Karimi, A., Ahmadi, A., Shahbazi, Z., Shafiee, Q., Bevrani, H..  2021.  A Resilient Control Method Against False Data Injection Attack in DC Microgrids. 2021 7th International Conference on Control, Instrumentation and Automation (ICCIA). :1—6.

The expression of cyber-attacks on communication links in smart grids has emerged recently. In microgrids, cooperation between agents through communication links is required, thus, microgrids can be considered as cyber-physical-systems and they are vulnerable to cyber-attack threats. Cyber-attacks can cause damages in control systems, therefore, the resilient control methods are necessary. In this paper, a resilient control approach against false data injection attack is proposed for secondary control of DC microgrids. In the proposed framework, a PI controller with an adjustable gain is utilized to eliminate the injected false data. The proposed control method is employed for both sensor and link attacks. Convergence analysis of the measurement sensors and the secondary control objectives under the studied control method is performed. Finally, a DC microgrid with four units is built in Matlab/Simulink environment to verify the proposed approach.