Article Sidebar
Published:
Dec 12, 2019DOI:
10.4314/njt.v38i3.20Keywords:
Article Details
Copyright belongs to the Faculty of Engineering, University of Nigeria, Nsukka, Nigeria
The contents of the articles are the sole opinion of the author(s) and not of NIJOTECH.
NIJOTECH allows open access for distribution of the published articles in any media so long as whole (not part) of articles are distributed.
A copyright and statement of originality documents will need to be filled out clearly and signed prior to publication of an accepted article. The Copyright form can be downloaded from https://www.nijotech.com/downloads/COPYRIGHT%20FORM.pdf while the Statement of Originality is in Statement of Originality.pdf (nijotech.com)
For articles that were developed from funded research, a clear acknowledgement of such support should be mentioned in the article with relevant references. Authors are expected to provide complete information on the sponsorship and intellectual property rights of the article together with all exceptions.
It is forbidden to publish the same research report in more than one journal.
Main Article Content
Economic load dispatch of Nigeria integrated high voltage generation and transmission grid using BAT algorithm
Abstract
A BAT algorithm to solve economic load dispatch problem of the Nigerian integrated power system is presented in this paper. Data from Transmission Company of Nigeria (TCN) national control centre, Osogbo was collected from January 2010 to December 2015 and was used to develop cost function for the twenty-one (21) thermal stations contributing power to the national grid. The cost functions were optimized in MATLAB® R2012a environment using Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Bat Algorithm (BA). The result obtained shows that using the optimization tools GA, PSO, SA and BA the cost of fuel for generation are N13,239,100.0, N13,193,163.2, N13,139,672.0 and N13,105,495.2 respectively, which shows that BA gave the best result of minimizing fuel cost.
Keywords: economic, load dispatch, bat algorithm, simulated annealing, optimization
