Harmony Search Algorithm Based Control of DFIG Wind Energy System in Multi Machine Power Systems
M. J. Nikhitha1, P. Bharat kumar2, P. Sujatha3

1M. J. Nikhitha*, PG Scholar, Electrical and Electronics Engineering, JNTUA, Ananthapuramu, A.P.
2P. Bharat kumar, Assistant Professor, Electrical and Electronics Engineering, JNTUA, Ananthapuramu, AP.
3P. Sujatha, Professor, Electrical and Electronics Engineering, JNTUA, Ananthapuramu, AP.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 320-327 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2313039520/2020©BEIESP | DOI: 10.35940/ijitee.E2313.039520
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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: In wind energy conversion system (WECS) Double Fed Induction generator (DFIG) preferred, though it has many advantages when used in wind energy system, but DFIG is very sensitive to the grid disruptions. When an error occurs DFIG is greatly affected in the multi- machine system. The voltage and power gets deviated. The main purpose of this paper is to stabilize the DFIG under fault conditions, but the performance of the DFIG is depends on the PI controller parameters. By using Harmony Search Algorithm (HSA) technique the PI controller parameters are tuned, by this the efficiency of a system can be improved and the voltage and power oscillations can be reduced. The simulation is performed in detailed model of four-machine two-area system. The whole process is done in the MATLAB Simulink software. A comparative study is done between tuning of PI parameter with HSA and actual existing system. 
Keywords: Wind Energy Conversion System (WECS), DFIG, Harmony Search Algorithm (HSA), Multi-Machine System.
Scope of the Article: Artificial Intelligence and Machine Learning