TY - GEN
T1 - On the impact of communication delays on power system automatic generation control performance
AU - Zhang, Jiangmeng
AU - Dominguez-Garcia, Alejandro D.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/21
Y1 - 2014/11/21
N2 - In this paper, we investigate the impact of communication delays on the performance of power system automatic generation control (AGC). To this end, we formulate a hybrid system model that describes the power system electromechanical behavior, including the AGC system dynamics. Through linearization and discretization, this hybrid system model is converted into a discrete-time linear time-invariant system model that includes the effect of delays in the AGC system communication channels. The stability of the closed-loop system can then be determined by examining the characteristics of the state-transition matrix of the aforementioned discrete-time linear system. Interesting findings include that increasing communication delay may help decrease the largest eigenvalue magnitude of the state-transition matrix. However, in reality, the delay is not constant or deterministic. We carefully analyze the stability of systems with random communication delays and nonzero mean random disturbances. The proposed analysis methodology is illustrated and verified through numerical examples.
AB - In this paper, we investigate the impact of communication delays on the performance of power system automatic generation control (AGC). To this end, we formulate a hybrid system model that describes the power system electromechanical behavior, including the AGC system dynamics. Through linearization and discretization, this hybrid system model is converted into a discrete-time linear time-invariant system model that includes the effect of delays in the AGC system communication channels. The stability of the closed-loop system can then be determined by examining the characteristics of the state-transition matrix of the aforementioned discrete-time linear system. Interesting findings include that increasing communication delay may help decrease the largest eigenvalue magnitude of the state-transition matrix. However, in reality, the delay is not constant or deterministic. We carefully analyze the stability of systems with random communication delays and nonzero mean random disturbances. The proposed analysis methodology is illustrated and verified through numerical examples.
UR - http://www.scopus.com/inward/record.url?scp=84918522494&partnerID=8YFLogxK
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U2 - 10.1109/NAPS.2014.6965370
DO - 10.1109/NAPS.2014.6965370
M3 - Conference contribution
AN - SCOPUS:84918522494
T3 - 2014 North American Power Symposium, NAPS 2014
BT - 2014 North American Power Symposium, NAPS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 North American Power Symposium, NAPS 2014
Y2 - 7 September 2014 through 9 September 2014
ER -