Robustness Analysis of Induction Generator based Variable Speed Wind Power Plant with Power Optimization Capability
Neha Gupta1, Yaduvir Singh2
1Neha Gupta, Pursuing Ph.D. Department of Electrical Engineering, School of Engineering, HBTU, Kanpur, Uttar Pradesh, India.
2Dr. Yaduvir Singh, Professor & Head of Department of Electrical Engineering, School of Engineering, HBTU, Kanpur, Uttar Pradesh, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 4883-4888 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2888129219/2019©BEIESP | DOI: 10.35940/ijeat.B2888.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Wind generator, Extremum seeking, Robustness, SCIG, Controller