Title :
Impulsive control of stochastic interconnected power systems based on T-S fuzzy model
Author :
Lulu Wang ; Yonghui Sun ; Lei Liu ; Ya´nan Liu
Author_Institution :
Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
Abstract :
In this paper, we discuss the control problem of interconnected power systems with stochastic perturbation based on the fuzzy control theory. Firstly, the Takagi-Sugeno (T-S) interpolation approach is adopted to approximate stochastic interconnected power system, and the simplified linear models are derived. Then, by using the impulsive control strategy, the stabilization of stochastic interconnected power system could be realized. Based on Lyapunov stability theory, sufficient conditions are derived in the form of linear matrix inequality (LMI). At last, simulation results on a two-machine interconnected system are provided to illustrate the effectiveness of the proposed control methods.
Keywords :
Lyapunov methods; fuzzy control; interpolation; linear matrix inequalities; power system control; power system interconnection; power system stability; stochastic processes; stochastic systems; LMI; Lyapunov stability theory; T-S fuzzy control model; T-S interpolation approach; Takagi-Sugeno interpolation approach; impulsive control strategy; linear matrix inequality; power system stabilization; stochastic interconnected power system; stochastic perturbation; two-machine interconnected power system; Couplings; Educational institutions; Electronic mail; Fuzzy control; Interconnected systems; Power system stability; Stochastic processes; Stochastic interconnected power systems; T-S fuzzy model; impulsive control;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895695
