Embedded adaptive mutation evolutionary programming for distributed generation management

Muhammad Fathi Mohd Zulkefli, Ismail Musirin, Shahrizal Jelani, Mohd Helmi Mansor, Naeem M.S. Honnoon

Research output: Contribution to journalArticle


Distribution generation (DG) is a widely used term to describe additional supply to a power system network. Normally, DG is installed in distribution network because of its small capacity of power. Number of DGs connected to distribution system has been increasing rapidly as the world heading to increase their dependency on renewable energy sources. In order to handle this high penetration of DGs into distribution network, it is crucial to place the DGs at optimal location with optimal size of output. This paper presents the implementation of Embedded Adaptive Mutation Evolutionary Programming technique to find optimal location and sizing of DGs in distribution network with the objective of minimizing real power loss. 69-Bus distribution system is used as the test system for this implementation. From the presented case studies, it is found that the proposed embedded optimization technique successfully determined the optimal location and size of DG units to be installed in the distribution network so that the real power loss is reduced.

Original languageEnglish
Pages (from-to)364-370
Number of pages7
JournalIndonesian Journal of Electrical Engineering and Computer Science
Issue number1
Publication statusPublished - Oct 2019

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

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