Optimal reactive power dispatch based on the improved seeker optimisation algorithm and statistical analysis
by Manas Ranjan Nayak; Bijaya Ketan Panigrahi; Pravat Kumar Rout
International Journal of Power and Energy Conversion (IJPEC), Vol. 5, No. 3, 2014

Abstract: Optimal reactive power dispatch (ORPD) is one of the important non-linear mixed-variable optimisation problems in power system which includes both continuous and discrete control variables satisfying both equality and inequality constraints. This paper presents a new evolutionary optimisation algorithm to solve the optimal reactive power dispatch problem with operational constraints using the improved seeker optimisation algorithm (ISOA). In this paper, we improvise the step length determination strategy in the conventional seeker optimisation method by considering an optimistically contracting step length calculation. The feasibility of the proposed approach was tested on IEEE 30-bus system with three different single objectives like minimise the total real power loss, improve the load bus voltage profile and improve the voltage stability index. Simulation result obtained reveals the robustness and ability of the proposed methodology over other existing techniques recently reported in the literature. An innovative statistical analysis based on central tendency measures and dispersion measures were carried out on the three different single objectives.

Online publication date: Thu, 24-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Power and Energy Conversion (IJPEC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com