Ziyong Zhang^*, Zhijian Hu, Yukai Liu, Yang Gao, He Wang, Jianglei Suo

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School of Electrical Engineering, Wuhan University, Wuhan, China.
School of Electrical Engineering, Wuhan University, Wuhan, China..
Jiangsu Suzhou Power Supply Company, STATE GRID Corporation of China, Suzhou, China.
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Abstract: The paper demonstrates the possibility to enhance the damping of inter-area oscillations using Wide Area Measurement (WAM) based adaptive supervisory controller (ASC) which considers the wide-area signal transmission delays. The paper uses an LMI-based iterative nonlinear optimization algorithm to establish a method of designing state-feedback controllers for power systems with a time-varying delay. This method is based on the delay-dependent stabilization conditions obtained by the improved free weighting matrix (IFWM) approach. In the stabilization conditions, the upper bound of feedback signal’s transmission delays is taken into consideration. Combining theoriesof state feedback control and state observer, the ASC is designed and time-delay output feedback robust controller is realized for power system. The ASC uses the input information from Phase Measurement Units (PMUs) in the system and dispatches supplementary control signals to the available local controllers. The design of the ASC is explained in detail and its performance validated by time domain simulations on a New England test power system (NETPS).

Keywords: Adaptive Supervisory Controller (ASC); Delay-dependent Damping Control; Power Oscillation; IFWM; LMI; Free Weighting Matrix Approach; Time-varying Delay; WAMS

Cite this paper: Z. Zhang, Z. Hu, Y. Liu, Y. Gao, H. Wang and J. Suo, "Wide-Area Delay-Dependent Adaptive Supervisory Control of Multi-machine Power System Based on Improve Free Weighting Matrix Approach," Energy and Power Engineering, Vol. 5 No. 4, 2013, pp. 435-441. doi: 10.4236/epe.2013.54B084.

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