A New Meta Heuristic Dragonfly Optimizaion Algorithm for Optimal Reactive Power Dispatch Problem

Anbarasan PALAPPAN; Jayabarathi THANGAVELU

Article Details

A New Meta Heuristic Dragonfly Optimizaion Algorithm for Optimal Reactive Power Dispatch Problem

Authors:

Anbarasan PALAPPAN | Jayabarathi THANGAVELU

Publisher:

Gazi University

Main Topics:

Applied physics

Journal:

Gazi University Journal of Science 2018 Vol.31 Issue 4, pp.1107-1121

Document Type:

Article

Publication Date:

11/2018

Document Language:

English

Document ID (Org No.):

2000428115

eISSN:

2147-1762

Abstract:

 


This research accesses a novel approach of
utilising an advanced Meta–heuristic Optimization technique with a single
objective to pledge with optimal reactive power dispatch problem in electrical
power system network. The prime focus of reactive power dispatch is to curtail
the total active power loss in transmission lines.  In this detailed study, the dragonfly
algorithm was realized on standard IEEE-14 bus and 30 bus systems. The outcome
of dragonfly algorithm lucidly indicate the capablity of increasing the
antecedent random population size for a liable global optimization problem,
focalized close to the global optimum and contributing precise outcome results
related to another popular algorithm.  


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Article Details

A New Meta Heuristic Dragonfly Optimizaion Algorithm for Optimal Reactive Power Dispatch Problem

Authors: Anbarasan PALAPPAN | Jayabarathi THANGAVELU

Publisher: Gazi University

Main Topics: Applied physics

Journal: Gazi University Journal of Science 2018 Vol.31 Issue 4, pp.1107-1121

Document Type: Article

Publication Date: 11/2018

Document Language: English

Document ID (Org No.): 2000428115

eISSN: 2147-1762

Issues

Authors:

Anbarasan PALAPPAN | Jayabarathi THANGAVELU

Publisher:

Gazi University

Main Topics:

Applied physics

Journal:

Gazi University Journal of Science 2018 Vol.31 Issue 4, pp.1107-1121

Document Type:

Article

Publication Date:

11/2018

Document Language:

English

Document ID (Org No.):

2000428115

eISSN:

2147-1762