Containment-Based Multiple PCC Voltage Regulation Strategy for Communication Link and Sensor Faults

Meina Zhai; Qiuye Sun; Rui Wang; Huaguang Zhang

doi:10.1109/JAS.2023.123747

Volume 10 Issue 11

Nov. 2023

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2023 > 10(11): 2045-2055

M. N. Zhai, Q. Y. Sun, R. Wang, and H. G. Zhang, “Containment-based multiple PCC voltage regulation strategy for communication link and sensor faults,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2045–2055, Nov. 2023. doi: 10.1109/JAS.2023.123747

Citation:

M. N. Zhai, Q. Y. Sun, R. Wang, and H. G. Zhang, “Containment-based multiple PCC voltage regulation strategy for communication link and sensor faults,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2045–2055, Nov. 2023. doi: 10.1109/JAS.2023.123747

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Containment-Based Multiple PCC Voltage Regulation Strategy for Communication Link and Sensor Faults

doi: 10.1109/JAS.2023.123747

Funds: This work was supported in part by the National Key R&D Program of China (2018YFA0702200) and the National Natural Science Foundation of China (62073065, U20A20190)

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Author Bio:
Meina Zhai received the B.S. degree in mathematics and applied mathematics from Shenyang Normal University in 2016, the M.S. degree in systems analysis and integration from Northeastern University in 2019. She is currently a Ph.D. candidate in control science and engineering, Northeastern University. Her research interests include microgrids, voltage regulation, fault-tolerant control, event-triggered control and adaptive control

Qiuye Sun (Senior Member, IEEE) received the Ph.D. degree in control theory and control engineering from Northeastern University in 2007. He is currently a Full Professor with Northeastern University and obtained Special Government Allowances from the State Council in China. His current research interests include optimization analysis technology of power distribution network, network control of energy Internet, integrated energy systems and microgrids.He has authored or coauthored over 200 papers, authorized over 100 invention patents, and published over 10 books or textbooks. He is an Associate Editor of IEEE Trans NNLS, IET Cyber-Physical Systems, CSEE Journal of Power and Energy Systems, IEEE/CAA Journal of Automatica Sinica, etc

Rui Wang received the B.S. degree in electrical engineering and automation and the Ph.D. degree in power electronics and power drive from Northeastern University, in 2016 and 2021, respectively. In 2019, he became a Visiting Scholar with the Energy Research Institute, Nanyang Technological University, Singapore. He is a Lecturer with Northeastern University. His research interest focuses on collaborative optimization of distributed generation and its stability analysis in cyber-energy system. He has authored or coauthored over 50 papers, authorized over 20 invention patents. As the first author, he obtained IEEE Transactions on Energy Conversion Best Paper Award in 2021. He is an Editor or Guest Editor of Frontiers in Energy Research, Wireless Power Transfer

Huaguang Zhang (Follow, IEEE) received the B.S. and M.S. degrees in control engineering from the Northeast Dianli University, in 1982 and 1985, respectively, and the Ph.D. degree in thermal power engineering and automation from Southeast University in 1991. He joined the Department of Automatic Control, Northeastern University in 1992, as a Post-Doctoral Fellow for two years. Since 1994, he has been a Professor and the Head of the School of Information Science and Engineering, Institute of Electric Automation, Northeastern University. His current research interests include fuzzy control, stochastic system control, neural networks based control, nonlinear control, and their applications. Dr. Zhang has authored or co-authored over 280 journal and conference papers and six monographs and co-invented 90 patents. He was a recipient of the Outstanding Youth Science Foundation Award from the National Natural Science Foundation Committee of China in 2003. He was named the Cheung Kong Scholar by the Education Ministry of China in 2005. He was also a recipient of the IEEE Transactions on Neural Networks 2012 Outstanding Paper Award and the Andrew P. Sage Best Transactions Paper Award 2015. He is the E-Letter Chair of the IEEE CIS Society and the former Chair of the Adaptive Dynamic Programming & Reinforcement Learning Technical Committee on the IEEE Computational Intelligence Society. He was an Associate Editor of the IEEE Transactions on Fuzzy Systems from 2008 to 2013. He is an Associate Editor of Automatica, the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Cybernetics, and Neurocomputing
Corresponding author: Qiuye Sun, e-mail: sunqiuye@ise.neu.edu.cn
Received Date: 2023-05-26
Accepted Date: 2023-06-29

Available Online: 2023-08-22

Abstract

Abstract

The distributed AC microgrid (MG) voltage restoration problem has been extensively studied. Still, many existing secondary voltage control strategies neglect the co-regulation of the voltage at the point of common coupling (PCC) in the AC multi-MG system (MMS). When an MMS consists of sub-MGs connected in series, power flow between the sub-MGs is not possible if the PCC voltage regulation relies on traditional consensus control objectives. In addition, communication faults and sensor faults are inevitable in the MMS. Therefore, a resilient voltage regulation strategy based on containment control is proposed. First, the feedback linearization technique allows us to deal with the nonlinear distributed generation (DG) dynamics, where the PCC regulation problem of an AC MG is transformed into an output feedback tracking problem for a linear multi-agent system (MAS) containing nonlinear dynamics. This process is an indispensable pre-processing in control algorithm design. Moreover, considering the unavailability of full-state measurements and the potential faults present in the sensors, a novel follower observer is designed to handle communication faults. Based on this, a controller based on containment control is designed to achieve voltage regulation. In regulating multiple PCC voltages to a reasonable upper and lower limit, a voltage difference exists between sub-MGs to achieve power flow. In addition, the secondary control algorithm avoids using global information of directed communication network and fault boundaries for communication link and sensor faults. Finally, the simulation results verify the performance of the proposed strategy.
- Communication link faults,
- directed graph,
- fully distributed control,
- voltage regulation control

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References

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Unlike the output voltage regulation problem for AC microgrids, this paper investigates the regulation of the voltage at the common coupling point in a multi-microgrid system. The feedback linearization technique is relied upon to transform the common coupling voltage regulation problem of AC microgrids into a distributed output feedback tracking problem of a linear multi-agent system with nonlinear dynamics
Unlike the traditional consensus-based voltage regulation problem, we introduce the control objective of containment control in this paper. The reason is that it is impossible to achieve power flow between sub-microgrids if multiple point of common coupling voltages are controlled collectively at the reference value. Therefore, a containment-based distributed controller is proposed to balance the conflicting objectives of voltage regulation and power flow. This controller makes the point of common coupling voltage control within a reasonable range while there is a voltage difference to achieve power flow
We designed a novel adaptive follower-based observer to handle communication and sensor faults, avoiding the use of global information of directed communication network and fault-related parameters

Containment-Based Multiple PCC Voltage Regulation Strategy for Communication Link and Sensor Faults

doi: 10.1109/JAS.2023.123747

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