Optimal Distributed Generation Placement for Maximum Loss Reduction using Teaching Learning Based Optimization through Matlab GUI

M.Harini*, M. Damodar Reddy**
* Student, EEE Department, SV University College of Engineering, Andhra Pradesh, India.
** Professor, EEE Department, SV University College of Engineering, Andhra Pradesh, India.
Periodicity:November - January'2015
DOI : https://doi.org/10.26634/jps.2.4.3112


In distribution systems, distributed generation (DG) plays a vital role in meeting the demands of electrical energy. It is a small and self generating plant which provides power to industries and homes by improving the voltage profile, stability and by reducing the system losses. Optimal location and sizing of distributed generation in a radial distribution network is an optimization problem with both discrete and continuous variables. This paper presents a fuzzy approach for finding optimal locations and Teaching Learning Based Optimization (TLBO) technique for finding optimal DG sizes. The main objective is to reduce the system power losses and improve the voltage profile of the distribution network. The TLBO is inspired by the influence of the teaching by the teacher on the students in a class. In this paper, GUI is developed in Matlab to perform load flow and to obtain optimal location and sizing of DG. The proposed method was tested on IEEE 15 bus, 33 bus and 69 bus systems and the results were discussed.


Distributed Generation, Fuzzy Approach, Teaching Learning Based Optimization, Voltage Profile, Loss Reduction, Graphical User Interface.

How to Cite this Article?

Harini, M., and Reddy, M. D. (2015). Optimal Distributed Generation Placement For Maximum Loss Reduction Using Teaching Learning Based Optimization Through Matlab Gui. i-manager’s Journal on Power Systems Engineering, 2(4), 21-28. https://doi.org/10.26634/jps.2.4.3112


[1]. Dugan, R.C & McDermott, T.E (2002). “Distributed Generation”, Industry Applications Magazine, IEEE, Vol.8, Issue 2, pp.19-25.
[2]. Kyu-Ho Kim & Yu-Jeong Lee (2002). “Dispersed Generator Placement using Fuzzy-GA in distribution Systems”, Power Engineering Society Summer Meeting, IEEE, Vol 3.
[3]. Caisheng Wang & M. Hashem Nehrir (2004). “Analytical Approaches for optimal placement of Distributed Generation sources in Power Systems”, IEEE Transactions on Power Systems, Vol 19.
[4]. Damodar Reddy, M & Veera Reddy, V.C (2008). “Optimal Capacitor Placement using fuzzy and particle swarm optimization method for maximum annual savings”, APRN Journal of Engineering and Applied Sciences, Vol 3.
[5].Rajesh Kumar Singh, Swapan Kumar & G Goswami (2010). “Optimum allocation of distributed generations based on nodal pricing for profit, loss reduction, and voltage improvement including voltage rise issue” International Journal of Electrical Power and energy systems, Volume 32, issue 6, pp.637-644.
[6].Sudipta Ghosh, Sakti Prasad Ghoshal & Saradindu Ghosh (2010). “Optimal sizing and placement of distributed generation in a network system” International Journal of Electrical Power and Energy Systems, Vol 32, issue 8, pp.849-856.
[7].Naveen Jain Singh, S.N & S.C. Srivastava (2010 December). “Particle Swarm Optimization Based Method for Optimal Sitting and Sizing of Multiple DGs” 16th National Power System Conference.
[8].N. Khalesi , Nazkhanom Rezaei & Mahmoud Reza Haghifam (2011). “DG allocation with application of dynamic programming for loss reduction and reliability Improvement” International Journal of Electrical Power and Energy systems, Vol 33,issue 2, pp.288-295.
[9]. Mohammad Hasan Moradi & Mohammad Abedini Ghosh (2012). “A combination of genetic algorithm and Particle swarm optimization for optimal DG location and sizing in distribution systems” International Journal of Electrical Power and Energy systems, Vol 32, issue 8, pp.66-74.
[10].Ravipudivenkata Rao, Vimal J. Savsani & D.P.Vakharia (2012). “Teaching Learning Based Optimization: An optimization method for continuous non-linear large scale problems” International Journal of Electrical Power and Energy systems, Vol.183, issue 1, pp.1-15.
[11]. Jaikaran Singh, Mukesh Tiwan & Manan (2014). “Capacitor Placement in Radial Distribution System Using Ant Colony Search Algorithm”, IJETT, Vol 9.
[12].Sneha Sultana & Provas Kumar Roy (2014). “Optimal Capacitor Placement in Radial Distribution System Using Teaching Learning Based Optimizatio Algorithm”, Electrical power and Energy Systems, Science Direct, pp.387-398.

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

If you have access to this article please login to view the article or kindly login to purchase the article
Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.