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Optimal allocation and contingency analysis of Embedded Generation deployment in distribution network using Genetic Algorithm

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3 Author(s)
Veeramsetty, V. ; Dept. of Electr. Eng., Osmania Univ., Hyderabad, India ; Naga Lakshmi, G.V. ; Jayalaxmi, A.

This paper presents a contingency analysis study of Embedded Generation (EG) deployment in distribution network. It is expected of increasing amounts of EG that will be connected to power system distribution in the near future. Due to advances of technology and deregulation in the power market, EG is expected to become more cost effective energy sources that open the opportunity of exploiting renewable energy sources. This paper is started by introducing a new method for determining the optimal location and size of EG that needed to be deployed in the distribution network simultaneously using Genetic Algorithm (GA) technique with topology based distribution load flow solution. It follows by the discussion of evaluating the impact of the location and the size of EG to the system before and after contingency is created in the system due to fault. The proposed allocation methods and contingency analysis are demonstrated using IEEE 69-bus radial distribution system.

Published in:

Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on

Date of Conference:

21-22 March 2012