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
Link To Document :
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