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Ass. Lect. Mohamed Ali Aboelmate Lasheen :: Publications: |
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| Title: | Maximum Power Point Tracking of a Wind Turbine Driven by Synchronous Generator Connected to an Isolated Load Using Genetic Algorithm |
| Authors: | M A Lasheen;F M Bendary;Soliman M Sharaf;Helmy M El-Zoghby |
| Year: | 2014 |
| Keywords: | Wind Turbine Modeling;Synchronous Generator;MPPT Techniques;PI;Genetic Algorithm |
| Journal: | Smart Grid Conference (SASG), 2014 Saudi Arabia |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | IEEE |
| Local/International: | International |
| Paper Link: | |
| Full paper | Mohamed Ali Aboelmate Lasheen_Maximum Power Point Tracking of a Wind Turbine Driven by Synchronous Generator Connected to an Isolated Load Using Genetic Algorithm.pdf |
| Supplementary materials | Not Available |
| Abstract: |
Wind turbine generation is rapidly becoming the preferred renewable source of electric energy. The amount of energy captured from a wind energy conversion system (WECS) depends not only on the prevailing wind at the site, but also on the control strategy used for the WECS. Modeling, control and simulation of a wind turbine conversion system connected to an isolated load are proposed. The wind turbine being considered a variable speed turbine connected to a gear box to move a three phase wound rotor synchronous generator. The variable frequency energy produced by the generator is converted to the 50 Hz power system energy by a full power AC/DC/AC electronic converter. The maximum output power at every wind speed is achieved by selecting a certain inverter modulation index using proportional-integral controller which uses DC link power as feedback signal. The controller gains (Kp and Ki) are optimized using the Genetic Algorithm. |
