Development of PSO Based Control Algorithms for Maximizing Wind Energy Penetration

Sreedharan, Sasidharan and Ongsakul, Weerakorn and Singh, Jai Govind and Wartana, I Made and Buayai, Kittavit (2011) Development of PSO Based Control Algorithms for Maximizing Wind Energy Penetration. In: 2011 IEEE Power and Energy Society General Meeting, 24-29 Juli 2010/2011, IEEE.

[img] Text
5. Development of PSO Based Control Algorithms for Maximizing Wind Energy Penetration.pdf

Download (1MB)
[img] Text (Pereview)
Prosiding Int 05.pdf

Download (636kB)
[img] Text (Ujipagiasi)
PSmarkup_Wartana_I_Made_Development_of_PSO_Based_Control_Algorithms_for_Maximizing_Wind_Energy_Penetration.pdf

Download (531kB)

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, 220kV practical system. The results have shown the maximum safe instantaneous wind energy penetration limit possible by various methodologies proposed.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Wind power generation, Wind Penetration, Particle Swarm Optimization
Subjects: Engineering > Electrical Engineering
Divisions: Fakultas Teknologi Industri > Teknik Elektro S1
Depositing User: Mr Sayekti Aditya Endra
Date Deposited: 12 Aug 2019 04:04
Last Modified: 12 Aug 2019 04:04
URI: http://eprints.itn.ac.id/id/eprint/3761

Actions (login required)

View Item View Item