Optimal Placement and Sizing of Distributed Generation in Smart Distribution System

Abstract:

This paper solves the distributed generation (DG) planning problem. Firstly, multiple-objective functions have been formed with the consideration of minimum line loss, minimum voltage deviation and maximal voltage stability margin. Secondly, the proposed improved NSGA-II algorithm has been described in detail to solve the multi-objective planning problem. An improved Non-dominated Sorting Genetic Algorithm II has been proposed for optimal planning of multiple DG units in this paper. Experiment has been made on the IEEE 33-bus test case with the consideration of multiple DG units. The computational result and comparison indicate the proposed algorithm for optimal placement and sizing of DG in distribution system is effective.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 3322-3327
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.3322
• Online since: February 2014
• Authors: Shuang Zhang*, Yong Mei Liu, Feng Gao, Bei Tian
• Keywords: Distributed Generator (DG), Evolutionary Algorithm (EA), NSGA-II, Optimal Planning

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