A Two Stage Methodology for Siting and Sizing of DG for Minimum Loss in Radial Distribution System using RCGA

  • Lalitha M
  • Veera Reddy V
  • Reddy N
  • et al.
N/ACitations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

This paper presents a new methodology using Real Coded Genetic Algorithm (RCGA) for the placement of Distributed Generators(DG) in the radial distribution systems to reduce the real power losses and to improve the voltage profile. A two-stage methodology is used for the optimal DG placement . In the first stage, single DG placement algorithm is used to find the optimal DG locations and in the second stage, Real Coded Genetic Algorithm is used to find the size of the DGs corresponding to maximum loss reduction. The proposed method is tested on standard IEEE 33 bus test system and the results are presented.

Cite

CITATION STYLE

APA

Lalitha, M. P., Veera Reddy, V. C., Reddy, N. S., & Redddy, V. U. (2011). A Two Stage Methodology for Siting and Sizing of DG for Minimum Loss in Radial Distribution System using RCGA. International Journal of Computer Applications, 25(2), 10–17. https://doi.org/10.5120/3005-4048

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free