Issue |
MATEC Web of Conferences
Volume 57, 2016
4th International Conference on Advancements in Engineering & Technology (ICAET-2016)
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Article Number | 01027 | |
Number of page(s) | 4 | |
Section | Electronic & Electrical Engineering | |
DOI | https://doi.org/10.1051/matecconf/20165701027 | |
Published online | 11 May 2016 |
Analytical Approach for Loss Minimization in Distribution Systems by Optimum Placement and Sizing of Distributed Generation
1 Research Scholar, Deptt. of Electrical Engg, PEC University of Technology, Chandigarh, India
2 Professor, Deptt. of Electrical Engg, PEC University of Technology, Chandigarh, India
3 Associate Professor, Deptt. of Electrical Engg, PEC University of Technology, Chandigarh, India
a Surbhi Bakshi : surbhi.cgc@gmail.com
Distributed Generation has drawn the attention of industrialists and researchers for quite a time now due to the advantages it brings loads. In addition to cost-effective and environmentally friendly, but also brings higher reliability coefficient power system. The DG unit is placed close to the load, rather than increasing the capacity of main generator. This methodology brings many benefits, but has to address some of the challenges. The main is to find the optimal location and size of DG units between them. The purpose of this paper is distributed generation by adding an additional means to reduce losses on the line. This paper attempts to optimize the technology to solve the problem of optimal location and size through the development of multi-objective particle swarm. The problem has been reduced to a mathematical optimization problem by developing a fitness function considering losses and voltage distribution line. Fitness function by using the optimal value of the size and location of this algorithm was found to be minimized. IEEE-14 bus system is being considered, in order to test the proposed algorithm and the results show improved performance in terms of accuracy and convergence rate.
Key words: Distributed Generation / Particle Swarm Optimization / Optimal Sizing / Solar
© Owned by the authors, published by EDP Sciences, 2016
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