Please use this identifier to cite or link to this item: http://hdl.handle.net/10266/1021
Title: Unit Commitment Using Particle Swarm Optimization
Authors: Puri, Vinod
Supervisor: Narang, Nitin
Jain, Sanjay Kumar
Keywords: Unit Commitment;Particle Swarm Optimization
Issue Date: 20-Oct-2009
Abstract: An important criterion in power system operation is to meet the power demand at minimum fuel cost using an optimal mix of different power plants. Moreover, in order to supply electric power to customers in a secured and economic manner, thermal unit commitment is considered to be one of the best available options. It is thus recognized that the optimal unit commitment of thermal systems results in a great saving for electric utilities. Unit Commitment is the problem of determining the schedule of generating units subject to device and operating constraints. The unit commitment has been identified for the thesis work. The formulation of unit commitment has been discussed and the solution is obtained by classical dynamic programming method. An algorithm based on Particle Swarm Optimization technique, which is a population based global search and optimization technique, has been developed to solve the unit commitment problem. The effectiveness of these algorithms has been tested on systems comprising three units and four units and compared for total operating cost.
URI: http://hdl.handle.net/10266/1021
Appears in Collections:Masters Theses@EIED

Files in This Item:
File Description SizeFormat 
1021Vinod(80741024).pdf1.85 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.