Study On Robust Control For Power System T-S Fuzzy Model Based

With the development of electric power system, the complexity of network structures and operation conditions have been increasing, which has brought new challenge to the security and stability of power systems. To design a robust and adaptive controller with the application of nonlinear control theory is very important to the stability of power system.In this paper, the current power system stability control status is summed up. Fuzzy T-S models are constructed as an approximation to the nonlinear electric power system, based on which, robust H∞control and pole placement constraint theory is used to design the stability controller for power system. The designed results are more practical. Validity and high performance of the controller can be seen from simulations. At last, the conclusion contains discussions on some problems and directions for future study.The following key elements:(1) Introduce the power system stability control developments, the main power system control theory and research methods in the power system of the situation.(2) The characteristics and structure of T-S fuzzy model are introduced respectively. Parallel distributed compensation and compensation and division for fuzzy Models are used to design the controller. The design methods for Takagi-Sugeno model based fuzzy systems with guaranteed H∞performance and additional constraint on the closed-loop pole locations are introduced. These objectives are formulated in terms of a convex optimization problem involving linear matrix inequality.(3) Parallel distributed compensation is used to design H∞controller for a simple power system with periodic load perturbation. The control result is compared with compensation and division for fuzzy models.(4) The T-S fuzzy model is constructed for power system including TCSC. Controller with guaranteed H∞performance and additional constraints on the closed-loop pole locations is presented. Performance of the controller is discussed by comparing of nonlinear H∞controller.(5) Fuzzy excitation controller is designed for power system. To single machine infinite bus system, a dynamic feedback is used to replace the linear optimal excitation control. To multi-machine power system, a new full state feedback fuzzy controller is designed. Simulations are both obtained.