Title :
Compensation of voltage sags and harmonics with phase-jumps through DVR with minimum VA rating using Particle Swarm Optimization
Author :
Kumar, Anil R. ; Kumar, Siva G. ; Kumar, Kalyan B. ; Mishra, Mahesh K.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India
Abstract :
Dynamic Voltage Restorer (DVR) restores the distribution system load voltage to a nominal balanced sinusoidal voltage, when the source voltage has distortions, sag/swell and unbalances. DVR has to inject required amount of Volt-Amperes (VA) into the system in order to maintain a nominal balanced sinusoidal voltage at the load. A new control technique is applied to compensate the sag and harmonics with phase jumps in the source voltages. Keeping the cost effectiveness of DVR, it is desirable to have a minimum VA rating of the DVR, for a given system without compromising compensation capability. Hence, a methodology has been proposed in this work to minimize VA rating of DVR. The optimal angle at which DVR voltage has to be injected in series to the line impedance so as to have minimum VA rating of DVR as well as the removal of phase jumps in the three-phases is computed by Particle Swarm Optimization (PSO) technique. The present method was able to compensate voltage harmonics and sags with phase jumps by keeping the DVR voltage and power ratings minimum, effectively. The proposed method has been validated through detailed simulation studies.
Keywords :
distribution networks; particle swarm optimisation; power supply quality; power system harmonics; power system restoration; DVR; distribution system load voltage restoration; dynamic voltage restorer; harmonics compensation; particle swarm optimization; phase-jumps; volt-ampere rating; voltage sags compensation; Circuits; Particle swarm optimization; Phase distortion; Power quality; Power system dynamics; Power system harmonics; Power system reliability; Power system restoration; Voltage control; Voltage fluctuations; Dynamic voltage restorer; VA rating; particle swarm optimization; phase jumps;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393743