Open AccessRobustness Analysis of Induction Generator based Variable Speed Wind Power Plant with Power Optimization Capability
Author(s) -
Neha Gupta,
Yaduvir Singh
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b2888.129219
Subject(s) - control theory (sociology) , wind power , robustness (evolution) , induction generator , turbine , electric power system , feedback linearization , linearization , variable speed wind turbine , robust control , engineering , computer science , control engineering , permanent magnet synchronous generator , power (physics) , control system , nonlinear system , voltage , mechanical engineering , biochemistry , chemistry , physics , control (management) , electrical engineering , quantum mechanics , artificial intelligence , gene
This paper presents power optimization of a variable speed grid connected wind power plant. We have employed a non-linear controller to improve the performance of extremum seeking (ES) scheme applied to wind power plant for power optimization. The design of the non linear controller is based on feedback linearization and feedback-oriented control idea. We have considered horizontal wind turbine functioning in sub-rated power region. The aim of this paper is to design a robust controller for power optimization, which is insensitive to the uncertainties in system parameters. The ES scheme aims at regulating the wind turbine rotor speed by changing stator electrical frequency through matrix converter. The controller designed in this work is a robust non-linear controller, which prevents magnetic saturation of induction generator and minimizes the response time of the system. The robustness of the control algorithm has been tested by adding different amount of perturbation to model’s parameters. Also results with and without non linear controller have been compared.