Output power smoothing of grid‐connected permanent‐magnet synchronous generator driven directly by variable speed wind turbine: a review. Issue 13 (12th December 2017)

• Record Type: Journal Article
• Authors: Qais, Mohammed H.; Hasanien, Hany M.; Alghuwainem, Saad
• Is Part Of: Journal of engineering. Volume 2017:Issue 13(2017)
• Page Start: 1755
• Page End: 1759
• Publication Date: 2017-12-12
• Subjects: permanent magnet generators -- synchronous generators -- machine control -- power grids -- wind turbines -- power generation control -- energy storage -- fuzzy control -- variable structure systems -- DC‐DC power convertors -- evolutionary computation -- power control; DC‐DC converter -- machine‐side converter -- control performance -- evolutionary algorithms -- sliding mode control -- power control techniques -- fuzzy logic control -- power control techniques -- cost limitations -- load levelling -- renewable energy -- ESS -- energy storage systems -- rotor inertia -- blades -- pitch angle -- power fluctuations -- wind speed variation -- wind farms -- variable speed wind turbine -- grid‐connected permanent‐magnet synchronous generator -- output power smoothing; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0633
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : The output power of wind farms is fluctuating as a result of the wind speed variation. These power fluctuations disturb the quality of voltage and frequency of the grid. The fluctuated power can be smoothed via many methods such as controlling the pitch angle of blades, the rotor inertia, and using the energy storage systems (ESSs). These ESSs are mostly installed in the renewable energy for load levelling with cost limitations. Owing to the high cost of ESSs, it is required to utilise and enhance different power control techniques. This study introduces different and recent proposed methods and enhancements to smoothen the output power of permanent‐magnet synchronous generator driven directly (gearless) by a variable‐speed wind turbine. Fuzzy logic control, sliding mode control, and evolutionary algorithms are used to enhance the control performance of pitch angle, machine‐side converter, and DC–DC converter of ESS.