Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system

Nur Ainna Shakinah Abas, Ismail Musirin, Shahrizal Jelani, Mohd Helmi Mansor, Naeem M.S. Honnoon, Muhammad Murtadha Othman

Research output: Contribution to journalArticle

Abstract

This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simulation is used to find the random number of locations of MDGs. This involved the testing of the proposed technique on IEEE 69-bus distribution test system. It is found that the proposed approach successfully solved the MDGs installation problem by reducing the power losses and improving the minimum voltage of the distribution system.

Original languageEnglish
Pages (from-to)978-984
Number of pages7
JournalBulletin of Electrical Engineering and Informatics
Volume8
Issue number3
DOIs
Publication statusPublished - 01 Sep 2019

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Distributed Generation
Evolutionary Programming
Distributed power generation
Distribution System
programming
Evolutionary algorithms
power loss
installing
Voltage
random numbers
Random number
Electric potential
Test System
electric potential
Optimization Techniques
Monte Carlo Simulation
Testing
optimization
profiles
simulation

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Abas, Nur Ainna Shakinah ; Musirin, Ismail ; Jelani, Shahrizal ; Mansor, Mohd Helmi ; Honnoon, Naeem M.S. ; Othman, Muhammad Murtadha. / Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system. In: Bulletin of Electrical Engineering and Informatics. 2019 ; Vol. 8, No. 3. pp. 978-984.
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Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system. / Abas, Nur Ainna Shakinah; Musirin, Ismail; Jelani, Shahrizal; Mansor, Mohd Helmi; Honnoon, Naeem M.S.; Othman, Muhammad Murtadha.

In: Bulletin of Electrical Engineering and Informatics, Vol. 8, No. 3, 01.09.2019, p. 978-984.

Research output: Contribution to journalArticle

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