Article Sidebar
Published:
Jun 2, 2022DOI:
10.4314/njt.v41i2.9Keywords:
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
Shunt compensation and optimization of Nigerian 330Kv 34 bus power system using metaphorless Rao-Type algorithms
Abstract
Power system networks suffer from power losses and bus voltage violations due to heavy loading at the various buses. As a consequence, there is a need for some sort of compensation at the heavily loaded bus points. In this paper, a novel type of optimizer with fast convergence and simplicity called Rao-1, which is based on metaphorless programming, is presented for the task of optimization with shunt compensation on Nigerian 330-kV power network. The application of this algorithm for optimal shunt compensation of the Nigerian 330kV, 34-bus power transmission network is presented. The results obtained by Rao-1 technique are compared with particle swarm optimization (PSO). The findings show that using shunt compensation generally improves the precision of objective function values even though at some trials there might be deviations. Comparative results also show the competitiveness and efficacy of proposed Rao-1 type algorithm in terms of fitness scores and computational run time.
