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Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults.

Authors :
Dehkordi, Nima Mahdian
Moussavi, Seyed Zeinolabedin
Source :
IEEE Transactions on Smart Grid; May2020, Vol. 11 Issue 3, p2699-2708, 10p
Publication Year :
2020

Abstract

To compensate for the voltage and frequency deviations caused by the droop control in islanded microgrids (MGs), employing an additional control level, called the secondary control, is necessary. Therefore, distributed control methods based on the sparse communication network, are recently employed in secondary control of MGs, because they are more reliable and flexible. However, traditional methods use the centralized communication network, which is neither economical nor efficient due to its large communication burden. Distributed control methods solve many challenges in the secondary layer of MGs, such as disturbances, uncertainties, unmodelled dynamics, noises, delays, attacks, and actuator faults. This paper proposes the novel resilient adaptive consensus-based voltage and frequency control protocols to compensate for the adverse effects of both sensor and actuator faults in communication network channels of islanded MGs. To this end, local adaptive sensor and actuator compensators eliminate the adverse effects of failures on sensors and actuators. The robust stability analysis based on the Lyapunov analysis is given to validate the results. Finally, the understudy islanded MG system is built in MATLAB/SimPowerSystems to verify the theoretical results. It is shown that the proposed secondary control strategies based on the adaptive protocols can highly increase the reliability and resiliency of the MG system compared with the existing distributed resilient methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19493053
Volume :
11
Issue :
3
Database :
Complementary Index
Journal :
IEEE Transactions on Smart Grid
Publication Type :
Academic Journal
Accession number :
142892019
Full Text :
https://doi.org/10.1109/TSG.2019.2960205