Benchmark studies on optimal reactive power dispatch (ORPD) based multi-objective evolutionary programming (MOEP) using mutation based on adaptive mutation operator (AMO) and polynomial mutation operator (PMO)
Joint Authors
Murjan, Mahaletchumi
Abd Allah, Nur Rul Hasma
Sulayman, Muhammad Hirwan
Mustafa, Mahfuzah
Samad, Rosdiyana
Source
Issue
Vol. 12, Issue 1 (31 Mar. 2016), pp.121-132, 12 p.
Publisher
Publication Date
2016-03-31
Country of Publication
Algeria
No. of Pages
12
Main Subjects
Topics
- Operations research
- Mathematical models
- Mathematical analysis
- Simulation methods
- Electric power systems
- Computer software
Abstract EN
Present days, Power System operates in a stressed condition due to reactive power shortage.
Hence, this research involves development of an adaptive mutation algorithm based multiobjective for Optimal Reactive Power Dispatch (ORPD) in a power system in order to minimize the total loss and the improved voltage stability simultaneously.
The performance of a Multi- Objective Evolutionary Programming (MOEP) is significantly dependent on the parameter setting of the operator.
These parameters tend to change the characteristic of adaptive in different stages of evolutionary process.
The intention of this paper is to create adaptive controls for each parameter existing in MOEP where it is able to improve even more the performance of the evolutionary programming.
Hence, in this paper, an adaptive mutation operator based multi-objective evolutionary programming is presented.
A computer program was written in MATLAB.
At the end, the result was compared with the Polynomial Mutation Operator.
American Psychological Association (APA)
Murjan, Mahaletchumi& Abd Allah, Nur Rul Hasma& Sulayman, Muhammad Hirwan& Mustafa, Mahfuzah& Samad, Rosdiyana. 2016. Benchmark studies on optimal reactive power dispatch (ORPD) based multi-objective evolutionary programming (MOEP) using mutation based on adaptive mutation operator (AMO) and polynomial mutation operator (PMO). Journal of Electrical Systems،Vol. 12, no. 1, pp.121-132.
https://search.emarefa.net/detail/BIM-667693
Modern Language Association (MLA)
Murjan, Mahaletchumi…[et al.]. Benchmark studies on optimal reactive power dispatch (ORPD) based multi-objective evolutionary programming (MOEP) using mutation based on adaptive mutation operator (AMO) and polynomial mutation operator (PMO). Journal of Electrical Systems Vol. 12, no. 1 (2016), pp.121-132.
https://search.emarefa.net/detail/BIM-667693
American Medical Association (AMA)
Murjan, Mahaletchumi& Abd Allah, Nur Rul Hasma& Sulayman, Muhammad Hirwan& Mustafa, Mahfuzah& Samad, Rosdiyana. Benchmark studies on optimal reactive power dispatch (ORPD) based multi-objective evolutionary programming (MOEP) using mutation based on adaptive mutation operator (AMO) and polynomial mutation operator (PMO). Journal of Electrical Systems. 2016. Vol. 12, no. 1, pp.121-132.
https://search.emarefa.net/detail/BIM-667693
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 132
Record ID
BIM-667693