Open AccessMulti‐objective grey wolf optimizer algorithm for combination of network reconfiguration and D‐STATCOM allocation in distribution system
Author(s) -
Selvaraj Ganesh,
Rajangam Kanimozhi
Publication year - 2019
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12100
Subject(s) - control reconfiguration , genetic algorithm , mathematical optimization , computer science , power (physics) , heuristic , algorithm , mathematics , embedded system , physics , quantum mechanics
Summary The distribution flexible alternating current system (D‐FACT) devices are being increasingly placed in the distribution system due to their several practical and environmental benefits. In this work, a novel grey wolf optimizer (GWO) algorithm as a meta‐heuristic technique is applied to solve the reconfiguration problem, the installation of distribution static compensator (D‐STATCOM) problem, and the combination of these two problem. The aim of this research is to diminish the total power loss and the load‐balancing (LB) index of the radial distribution system. First, the index vector (IV) method is employed to suggest the candidate busses for D‐STATCOM allocation. Then, the GWO algorithm is applied to establish the locations and sizes of the D‐STATCOM from the candidate busses. An overall accurateness and consistency of the proposed GWO algorithm has been validated and experienced on a 33‐bus, a 69‐bus, and a real‐time 31‐bus radial distribution system, India with three kinds of load levels. In addition, the proposed method results are ideal as compared with other intellectual methods like genetic algorithm (GA) and fuzzy GA.