Computational Intelligence Based Technique for Multi-DG Installation in Transmission System

Muhamad Fazrizal Faiz Sahilahudin, Ismail Musirin, Shahrizal Jelani, Mohd Helmi Mansor

Research output: Contribution to journalConference article

Abstract

The increasing electricity demand in transmission system has caused the power transmission system experiencing stress condition. This phenomenon has forced the system to need urgent additional supply to maintain system adequacy, in particular the de-regulated power system environment. Distributed generation (DG) has been identified as one of the possible solutions to address this issue. DG installation has the capability to reduce transmission loss and improve the voltage profile. This paper presents evolutionary programming (EP) technique for optimizing the sizing and locations in DG installation. In this study, several DGs have been installed to address the voltage profile improvement and loss minimization; implemented on the IEEE 30-Bus Reliability Test System (RTS). Results obtained from the study revealed that, installation of multi-DGs in a transmission system has significantly minimized the transmission loss along with voltage profile improvement.

Original languageEnglish
Article number03001
JournalE3S Web of Conferences
Volume152
DOIs
Publication statusPublished - 14 Feb 2020
Event2019 International Conference on Power, Energy and Electrical Engineering, PEEE 2019 - London, United Kingdom
Duration: 20 Dec 201922 Dec 2019

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All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Energy(all)
  • Earth and Planetary Sciences(all)

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