A new attempt of using iterative learning control in solving power system transient stability problem

Zhonghong Wang; Qiang Wang; Dongxia Zhang; Qirong Jiang

A new attempt of using iterative learning control in solving power system transient stability problem

Zhonghong Wang^*, Qiang Wang, Dongxia Zhang, Qirong Jiang

^*Corresponding author for this work

Tsinghua University

Research output: Contribution to journal › Article › peer-review

Abstract

Transient stability is the key problem of power system stability research. Power system is a nonlinear complex system with uncertainty in both mathematical model and disturbances, so it is important to find an adaptive control strategy independent of the detailed model. In some load conditions, negative damping will appear and oscillation will be deteriorated if the controller of STATCOM is short of adaptability. Iterative learning control (ILC) is used as the supplementary control method of FACTS controller to damp inter-area oscillation for the first time. The convergence of the used algorithm is proved. The digital simulation results both on TCSC and STATCOM prove that ILC is more adaptive than the traditional fixed-gain control in FACTS device control.

Original language	English
Pages (from-to)	10
Number of pages	1
Journal	Dianli Xitong Zidonghua/Automation of Electric Power Systems
Volume	23
Issue number	8
Publication status	Published - 25 Apr 1999
Externally published	Yes

Keywords

Iterative learning control (ILC)
PI control
Power system oscillation
Power systems
Transient stability

Cite this

Wang, Z., Wang, Q., Zhang, D., & Jiang, Q. (1999). A new attempt of using iterative learning control in solving power system transient stability problem. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 23(8), 10.

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AU - Zhang, Dongxia

AU - Jiang, Qirong

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AB - Transient stability is the key problem of power system stability research. Power system is a nonlinear complex system with uncertainty in both mathematical model and disturbances, so it is important to find an adaptive control strategy independent of the detailed model. In some load conditions, negative damping will appear and oscillation will be deteriorated if the controller of STATCOM is short of adaptability. Iterative learning control (ILC) is used as the supplementary control method of FACTS controller to damp inter-area oscillation for the first time. The convergence of the used algorithm is proved. The digital simulation results both on TCSC and STATCOM prove that ILC is more adaptive than the traditional fixed-gain control in FACTS device control.

KW - Iterative learning control (ILC)

KW - PI control

KW - Power system oscillation

KW - Power systems

KW - Transient stability

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A new attempt of using iterative learning control in solving power system transient stability problem

Abstract

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