Title :
PSO based tuning of FACTS controllers for maximizing the wind energy penetration in power systems
Author :
Sreedharan, Sasidharan ; Ongsakul, Weerakorn ; Singh, J.G. ; Buayai, Kittavit ; Wartana, I. Made
Author_Institution :
Sch. of Environ. Resources & Dev., Asian Inst. of Technol., Bangkok, Thailand
Abstract :
In this paper, a new methodology has been proposed for attaining the maximum instantaneous wind penetration by the optimal placement and setting of Flexible AC Transmission System (FACTS) controllers. Multiple of single type of FACTS controller namely SVC have been used for achieving the maximum wind penetration. Particle Swarm Optimization (PSO) based algorithm has been developed to obtain the maximum instantaneous penetration by adjusting the grid parameters and FACTS controller settings. The developed algorithm has been tested on modified IEEE 14-bus test system. The results have shown the maximum instantaneous wind energy penetration limit in percentage, optimal setting of FACTS controllers and also maximum safe bus loading point explicitly beyond which system drives into instability.
Keywords :
flexible AC transmission systems; particle swarm optimisation; power grids; power transmission control; wind power; FACTS controller settings; flexible AC transmission system controllers; grid parameters; maximum instantaneous wind energy penetration limit; maximum safe bus loading point; modified IEEE 14-bus test system; particle swarm optimization based tuning; power systems; Power system stability; Stability criteria; Static VAr compensators; Voltage control; Wind farms; Wind turbines; FACTS controllers; Particle Swarm Optimization; Power system modeling; Wind Penetration; Wind power generation;
Conference_Titel :
Innovative Smart Grid Technologies - India (ISGT India), 2011 IEEE PES
Conference_Location :
Kollam, Kerala
Print_ISBN :
978-1-4673-0316-3
DOI :
10.1109/ISET-India.2011.6145404