Wide-Area Delay-Dependent Adaptive Supervisory Control of Multi-machine Power System Based on Improve Free Weighting Matrix Approach

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

Jiangsu Suzhou Power Supply Company, STATE GRID Corporation of China, Suzhou, China.
School of Electrical Engineering, Wuhan University, Wuhan, China.
School of Electrical Engineering, Wuhan University, Wuhan, China..

DOI: 10.4236/epe.2013.54B084                

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

Conflicts of Interest

The authors declare no conflicts of interest.

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