DocumentCode :
2315107
Title :
Particle Swarm Optimization Based Energy Optimized Dynamic Voltage Restorer
Author :
Raj, P. Ajay-D-Vimal ; Kumar, S. Senthil ; Raja, J. ; Sudhakaran, M. ; Palanivelu, T.G.
Author_Institution :
Dept. of Electr. & Electron. Eng., Pondicherry Eng. Coll., Puducherry
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1
Lastpage :
6
Abstract :
Implementation of particle swarm optimization (PSO) application for solving the optimization problem in the field of electric power system is proposed. PSO is a powerful tool for optimizing multidimensional discontinuous nonlinearity problems. The optimization problem in power system like minimization of energy capacity of a dynamic voltage restorer is identified and analyzed in the proposed work. The growing interest in power quality has led to a variety of devices designed for mitigating power disturbances, primarily voltage sags. Among several devices, a dynamic voltage restorer (DVR) is a novel custom power device proposed to compensate for voltage disturbances in a distribution system. The compensation capability of a DVR depends primarily on the maximum voltage injection ability and the amount of stored energy available within the restorer. A novel PSO based phase advancement compensation (PAC) strategy is proposed in this work for optimizing the energy storage capacity of the DVR in order to enhance the voltage restoration property of the device. The proposed algorithm is tested on a sample three phase system for various levels of sag in a particular phase. The proposed algorithm identifies the required value of phase advancement angle corresponding to minimum power injection from the energy storage element such as a capacitor or a battery. The results of swarm intelligence based DVR are compared with the conventional DVR techniques and is found encouraging.
Keywords :
minimisation; particle swarm optimisation; power distribution; electric power system; energy capacity minimization; energy optimized dynamic voltage restorer; energy storage capacity; maximum voltage injection ability; multidimensional discontinuous nonlinearity problems; particle swarm optimization; phase advancement compensation; swarm intelligence; three phase system; Energy storage; Multidimensional systems; Nonlinear dynamical systems; Particle swarm optimization; Power quality; Power system analysis computing; Power system dynamics; Power system restoration; System testing; Voltage; Dynamic Voltage Restorer; Particle swarm optimization; Power quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4244-1763-6
Electronic_ISBN :
978-1-4244-1762-9
Type :
conf
DOI :
10.1109/ICPST.2008.4745326
Filename :
4745326
Link To Document :
بازگشت