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Multi-objective Capacitor Allocations in Distribution Networks using Artificial Bee Colony Algorithm
Author(s) -
Attia A. ElFergany,
Almoataz Y. Abdelaziz
Publication year - 2014
Publication title -
journal of electrical engineering and technology/journal of electrical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.226
H-Index - 27
eISSN - 2093-7423
pISSN - 1975-0102
DOI - 10.5370/jeet.2014.9.2.441
Subject(s) - capacitor , artificial bee colony algorithm , mathematical optimization , scope (computer science) , heuristic , computer science , voltage , stability (learning theory) , algorithm , engineering , mathematics , electrical engineering , machine learning , programming language
This article addresses an efficient heuristic-based approach to assign static shunt capacitors along radial distribution networks using the artificial bee colony algorithm. The objective function is adapted to enhance the overall system static voltage stability index and to achieve maximum net yearly savings. Load variations have been considered to optimally scope the fixed and switched capacitors required. The numerical results are compared with those obtained using recent heuristic methods and show that the proposed approach is capable of generating high-grade solutions and validated viability.

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