
Optimal Location and Sizing of Capacitors for Net saving Maximization in Radial Distribution System using ALO
Author(s) -
N. Vijayalakshmi,
K. Gayathri
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9468.109119
Subject(s) - sizing , maximization , capacitor , node (physics) , voltage , computer science , mathematical optimization , power (physics) , ac power , stability (learning theory) , reliability engineering , control theory (sociology) , electrical engineering , engineering , mathematics , art , physics , control (management) , structural engineering , quantum mechanics , machine learning , artificial intelligence , visual arts
The key factor for voltage stability of a distribution system is one among the most interesting areas of industry and research sectors far and wide. It considered the steady load activity and permissible voltage limits all over the network nodes. Of this, the capacitor is equipped for providing reactive power in the network which effects of limiting the power misfortunes and improves the voltage profile and stability of the system. In this paper, net saving maximization is consider as a target and as speaking to an expense of energy loss, installation, purchase and operating costs of capacitors. It is solved by using an Ant Lion Optimizer (ALO) algorithm. The ALO is to actualize the issue in order to maximize the objective of problem formulation. The fixed and switched type capacitors have used in this approach. The prevalence of the presented method is veteran on 34-node and 69-node systems. The assessment results of this approach are compared with the existing report.