Decentralized Coordinated Fuzzy Stabilization Control of Power System: An LMI Approach

This paper introduces a decentralized coordinated fuzzy stabilization control of power system. First, the Takagi and Sugeno (T-S) fuzzy model is employed to approximate system-wide nonlinear model of power system. Next, based on the fuzzy model, a fuzzy controller with decentralized constrain is developed to achieve the suboptimal control. A robust stabilization technique is also proposed to override the oscillations. Finally, the suboptimal control is parameterized in terms of three eigenvalue problems (EVP's), which can be solved conveniently by using linear matrix inequality (LMI) optimization techniques. A simulation example is used to illustrate the contributions of the proposed method. The results demonstrate that the proposed method gives a desired performance.