Multiobjective hybrid evolutionary approach for optimal planning of shunt capacitors in radial distribution systems with load models

8Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

This article proposes a novel hybrid heuristic search algorithm based on Harmony search and particle artificial bee colony algorithm (HSA-PABC) for shunt capacitor placement problem. The objective function is framed to minimize power loss and to maximize voltage stability. To search for the optimal location of shunt capacitors, the combinatorial use of loss sensitivity factor and hybrid HSA-PABC algorithm is utilized. In this paper, different types of voltage dependent load models are taken into consideration to investigate their influence on the active power loss and voltage stability of the RDN. Simulation results shows that the voltage dependent load models lead to completely different solutions interms of power loss reduction, voltage stability improvement and net annual savings which are the crucial parameters in the decision process of optimal shunt capacitor placement problem. The result outcomes of the proposed hybrid algorithm outperform the results of other heuristic techniques in the literature.

Cite

CITATION STYLE

APA

Muthukumar, K., & Jayalalitha, S. (2018). Multiobjective hybrid evolutionary approach for optimal planning of shunt capacitors in radial distribution systems with load models. Ain Shams Engineering Journal, 9(4), 1975–1988. https://doi.org/10.1016/j.asej.2017.02.002

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free