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


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
Issue number3
Publication statusPublished - Sep 2019


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

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