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

fYear

2014

fDate

28-30 July 2014

Firstpage

4500

Lastpage

4505

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6895695

Filename

6895695