DocumentCode
1633306
Title
Development of PSO based control algorithms for maximizing wind energy penetration
Author
Sreedharan, Sasidharan ; Ongsakul, Weerakorn ; Singh, J.G. ; Wartana, I. Made ; Buayai, Kittavit
Author_Institution
Sch. of Environ. Resources & Dev., Asian Inst. of Technol., Bangkok, Thailand
fYear
2011
Firstpage
1
Lastpage
6
Abstract
In this paper, new methodologies have been proposed for attaining the maximum safe instantaneous wind energy penetration. Various types of control algorithms namely, load increase, generation displacement and the combined load increase and generation displacement have been developed to obtain the maximum penetration. Wind Turbine used is DFIG and dynamic model of the system by considering Turbine governor (TG), Automatic voltage regulator (AVR) have been considered. Grid stability at high penetration level is obtained by conducting eigenvalue analysis of the complete power system grid. All the control algorithms are powered by Particle Swarm Optimization Algorithm (PSO) which adjusts the grid parameters for achieving maximum wind penetration. The developed algorithms have been tested with 25-bus, 220 kV practical system. The results have shown the maximum safe instantaneous wind energy penetration limit possible by various methodologies proposed.
Keywords
asynchronous generators; eigenvalues and eigenfunctions; particle swarm optimisation; power generation control; power grids; power system stability; wind power plants; wind turbines; DFIG; PSO based control algorithms; automatic voltage regulator; eigenvalue analysis; generation displacement; grid stability; particle swarm optimization algorithm; power system grid; turbine governor; voltage 220 kV; wind energy penetration; wind turbine; Eigenvalues and eigenfunctions; Generators; Heuristic algorithms; Power system stability; Wind farms; Wind power generation; Wind turbines; Particle Swarm Optimization; Wind Penetration; Wind power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4577-1000-1
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PES.2011.6039671
Filename
6039671
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