Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

Optimization of distributed generation location and capacity for improving voltage profile and reducing loss using genetic algorithm (SPEA) with proposing a new index

Hasan Jalili1*, Abdolreza Karamizadeh1, Mohammad Javad Foroughi1, Mehdi Pazhoohesh2 and Mahdi Jalili1
1Neyshabur Branch, Islamic Azad University, Neyshabur, Iran. 2University of Southampton, United Kingdom.
Email: [email protected]

  •  Accepted: 24 August 2011
  •  Published: 19 September 2011


With new changes in power systems, opportunity for new technologies has been made. Among such new technologies is Distributed Generator (DG). DGs have lots of advantages such as: reducing electricity cost, managing congestion in transmission lines, reducing loss, improving voltage profile etc. So it is forecasted that DGs will have increasing contribution in supplying the electricity demanded by customers in future. Artificial intelligence techniques are among the most common tools that are being used in DG allocation optimization problems. Genetic algorithm (GA) is one of these techniques which is an effective tool for solving optimization problem. In this paper a method is proposed for DG capacity and placement optimization in distribution systems using GA. The goal is to reduce active power loss and improve voltage profile.


Key word: Distributed generation, genetic algorithm, voltage profile, active power loss.