Development of PSO Based Control Algorithms for Maximizing Wind Energy Penetration
| Main Authors: | Sreedharan, Sasidharan, Ongsakul, Weerakorn, Singh, Jai Govind, Wartana, I Made, Buayai, Kittavit |
|---|---|
| Format: | Proceeding PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2011
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| Subjects: | |
| Online Access: |
http://eprints.itn.ac.id/3761/3/5.%20Development%20of%20PSO%20Based%20Control%20Algorithms%20for%20Maximizing%20Wind%20Energy%20Penetration.pdf http://eprints.itn.ac.id/3761/1/Prosiding%20Int%2005.pdf http://eprints.itn.ac.id/3761/2/PSmarkup_Wartana_I_Made_Development_of_PSO_Based_Control_Algorithms_for_Maximizing_Wind_Energy_Penetration.pdf http://eprints.itn.ac.id/3761/ |
Daftar Isi:
- 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, 220kV practical system. The results have shown the maximum safe instantaneous wind energy penetration limit possible by various methodologies proposed.