A Novel Hybrid Symbiotic Organism Search for solving Generator Maintenance Scheduling in a Power System

A Novel Hybrid Symbiotic Organism Search for solving Generator Maintenance Scheduling in a Power System

G. Balaji

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R. Balamurugan

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L. Lakshminarasimman

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Government Polytechnic College

A Novel Hybrid Symbiotic Organism Search for solving Generator Maintenance Scheduling in a Power System

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Abstract

The generator maintenance scheduling (GMS) problem is a high-dimensional complex constrained non linear optimization problem that determines the schedule for carrying out planned preventive maintenance on generating units in a power system. Here, GMS is modelled from the perspective of vertically integrated utility system subject to different set of system and operational constraints. Over the last few decades, a number of solution techniques, including nature inspired algorithms, have been developed and proposed to solve this problem. In this paper, a new nature inspired algorithm; symbiotic organism search is proposed to solve the generator maintenance scheduling problem. To examine the efficiency of the proposed algorithm, two test systems, 4-units and 22-units system are considered. The simulation results are compared with that of other existing algorithms, which reveal that the proposed method has merit in terms of solution quality.

References

7 Cites in Article

Reference Format

G Samuel,C Rajan (2013). A Modified Shuffled Frog Leaping Algorithm for Long-Term Generation Maintenance Scheduling.
K Dahal,C Aldridge,J Mcdonald (1999). Generator maintenance scheduling using a genetic algorithm with a fuzzy evaluation function.
M El-Sharkh,A El-Keib,H Chen (2003). A fuzzy evolutionary programming-based solution methodology for security-constrained generation maintenance scheduling.
G Balaji,R Balamurugan,L Lakshminarasimman (2016). Mathematical approach assisted differential evolution for generator maintenance scheduling.
Abdolvahhab Fetanat,Gholamreza Shafipour (2011). Generation maintenance scheduling in power systems using ant colony optimization for continuous domains based 0–1 integer programming.
Suresh Satapathy,Anima Naik,K Parvathi (2012). 0-1 Integer Programming for Generation Maintenance Scheduling in Power Systems Based on Teaching Learning Based Optimization (TLBO).
Min-Yuan Cheng,Doddy Prayogo (2014). Symbiotic Organisms Search: A new metaheuristic optimization algorithm.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

G. Balaji. 2017. \u201cA Novel Hybrid Symbiotic Organism Search for solving Generator Maintenance Scheduling in a Power System\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F6).

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GJRE Volume 17 Issue F6

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-F Classification FOR Code: 290901p

Submission ReceivedDecember 10, 2016
Peer Review Double Blind
Handling Editor
Accepted January 3, 2017
Published January 15, 2017

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v1.2

Issue date

October 13, 2017

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: G. Balaji, R. Balamurugan, L. Lakshminarasimman (PhD/Dr. count: 0)

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Publish Date: 2017 10, Fri

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Total Views: 3527

Total Downloads: 1770

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