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Matrix Converter Based Maximum Power Extraction through Wind Turbine and Induction Machine
Chetan Ghatage1, S.Sumathi2
1Chetan Ghatage, Department of Electronics and Instrumentation Engineering, R. N. Shetty Institute of Technology, Affiliated to Visvesvaraya Technological University, Karnataka, India.
2Dr. S. Sumathi, Department of Electrical and Electronics Engineering, R. N. Shetty Institute of Technology, Affiliated to Visvesvaraya Technological University, Karnataka, India.

Manuscript received on November 11, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 4224-4230 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7821118419/2019©BEIESP | DOI: 10.35940/ijrte.D7821.118419

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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: Wind power extraction has found an expressive growth in the past few years. This work endeavors on maximum utility power generation from wind resource and fulfill the needs of the society. Power extraction is composed of wind turbine (WT), induction machine (IM) and matrix converter (MC) forms a system of wind energy conversion (WECS). The stator and rotor synchronous speed of the IM is controlled by adjusting the frequency using MC for different given wind speeds. As the power accessible from induction generator (IG) is a component of WT shaft speed, so that maximum power is extracted by changing frequency for different wind speeds. MC acts as bridge between the grid and induction generator to confirm purely active generated power injection to the grid and maintains power factor at unity (UPF) at the grid side. To track and extract the maximum power for different wind velocities based on constant voltage/frequency control strategy to regulate the shaft speed of IM accordingly is presented. The effective maximum power generation is supported by simulation results and analysis with respect to WT characteristics is proposed.
Keywords: WECS, MC, WT, IM, IG, SVM, SCIG.
Scope of the Article: Machine Design.