TY - GEN
T1 - Distributed Cooperative LFC Protocols for Regulation Synchronization for Networked Multi-area Power Grid Networks
AU - Islam, Shafiqul
AU - DIas, Jorge
AU - Sunda-Meya, Anderson
N1 - Funding Information:
This work is supported in part by Xavier University of Louisiana, USA, and Institute of Systems and Robotics, University of Coimbra, Portugal.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/13
Y1 - 2021/10/13
N2 - In this paper, we propose consensus based distributed cooperative LFC schemes for leader-less networked multi-area power grid network systems in the presence of uncertainty. The LFC schemes design combine local states with the states of the neighboring area with directed communication topology. We propose two distributed cooperative LFC schemes. First, robust LFC schemes are designed by assuming that the bounds of the uncertainty associated with the power network dynamics are available. Then, we remove the demand of the bound on the uncertainty from LFC schemes by designing robust adaptive learning algorithm. Robust adaptive control terms uses to deal with the presence of uncertainty associated with the power networks and external fault disturbance. Lyapunov and graph theory uses to show that the proposed distributed cooperative design can reach an agreement with control areas and solve regulation synchronization problem. Analysis shows that the state of the control areas can reach an agreement and ensure both finite-time and asymptotic consensus property. Evaluation results on a four-area interconnected power grid networks are presented to show the effectiveness of the proposed consensus based distributed LFC algorithm for real-time applications.
AB - In this paper, we propose consensus based distributed cooperative LFC schemes for leader-less networked multi-area power grid network systems in the presence of uncertainty. The LFC schemes design combine local states with the states of the neighboring area with directed communication topology. We propose two distributed cooperative LFC schemes. First, robust LFC schemes are designed by assuming that the bounds of the uncertainty associated with the power network dynamics are available. Then, we remove the demand of the bound on the uncertainty from LFC schemes by designing robust adaptive learning algorithm. Robust adaptive control terms uses to deal with the presence of uncertainty associated with the power networks and external fault disturbance. Lyapunov and graph theory uses to show that the proposed distributed cooperative design can reach an agreement with control areas and solve regulation synchronization problem. Analysis shows that the state of the control areas can reach an agreement and ensure both finite-time and asymptotic consensus property. Evaluation results on a four-area interconnected power grid networks are presented to show the effectiveness of the proposed consensus based distributed LFC algorithm for real-time applications.
UR - http://www.scopus.com/inward/record.url?scp=85119484589&partnerID=8YFLogxK
U2 - 10.1109/IECON48115.2021.9589176
DO - 10.1109/IECON48115.2021.9589176
M3 - Conference contribution
AN - SCOPUS:85119484589
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Y2 - 13 October 2021 through 16 October 2021
ER -