An Evolutionary Approach for Optimal Citing and Sizing of Micro-Grid in Radial Distribution Systems

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-11 Number-9
Year of Publication : 2014
Authors : J.Eswari , Dr.S.Jeyadevi
  10.14445/22315381/IJETT-V11P286

MLA 

J.Eswari , Dr.S.Jeyadevi. "An Evolutionary Approach for Optimal Citing and Sizing of Micro-Grid in Radial Distribution Systems", International Journal of Engineering Trends and Technology (IJETT), V11(9),429-433 May 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

This Paper presents the methodology of penetration of Micro-Grids (MG) in the radial distribution system (RDS). The aim of this paper is to minimize a total real power loss that descends the performance of the radial distribution system by integrating various renewable resources as Distributed Generation (DG). The combination of different types of renewable energy resources contributes a sustainable MG. These resources are optimally sized and located using evolutionary approach in various penetration levels. The optimal solutions are experimented with IEEE 33 radial distribution system using Particle Swarm Optimization (PSO) technique. The results are quite promising and authenticate its potential to solve problem in radial distribution system effectively.

References

[1]. S. Chowdhury, S.P. Chowdhury and P. Crossley, “Micro-grids and Active Distribution Networks”, The Institution of Engineering and Technology, London, United Kingdom 2009.
[2]. Ali Keyhani, Mohammad N. Marwali Min Dai, “Integration Of Green And Renewable Energy In Electric Power Systems”, A John Wiley and Sons, Inc., Publication, 2010
[3]. Xiong Liu, Peng Wang, and Poh Chiang Loh, “A Hybrid AC/DC Microgrid and Its Coordination Control”, Ieee Transactions On Smart Grid, Vol. 2, pp.278-286, 2011
[4]. Edris Pouresmaeil, Carlos Miguel-Espinar, Miquel Massot-Campos, Daniel Montesinos-Miracle and Oriol Gomis-Bellmunt, “ A Control Technique for Integration of DG Units to the Electrical Networks”, IEEE, Transactions on Industrial Electronics, Vol. 60, 2013, pp.2881-2892.
[5] Mojtaba nuri, 2Mohammad Reza Miveh, Sohrab Mirsaeidi, Mohammad Reza Gharibdoost, “Distributed Generation Placement to Maximize the Loadability of Distribution System Using Genetic Algorithm”
[6]. Augusto C. Rueda-Medina, John F. Franco, Marcos J. Rider, Antonio Padilha-Feltrin, Rubén Romero. “A mixed-integer linear programming approach for optimal type, size and allocation of distributed generation in radial distribution systems”, Electric Power Systems Research, Vol.97,2013, pp.133– 143
[7]. F. Katiraei, and M. R. Iravani, “Power Management Strategies for a Microgrid With Multiple Distributed Generation Units”, IEEE Transactions On Power Systems, Vol. 21, pp.1821-1831, 2006.
[8]. S.Rajagopalan, “A New Computational Algorithm for load flow study of Radial Distribution System”, Computer and electrical Engng, Vol. 5, pp. 225-230
[9]. Ulas Eminoglu, M.Hakan Hocaoglu, “A New Power Flow Method for Radial Distribution systems using Voltage Dependant Models”, Electric Power Systems Research, Vol.76, 2005, pp. 106-114.
[10]. M.H. Haque, “A general load flow method for distribution systems”, Electric Power Systems Research, Vol. 54, 2000, pp. 47–54.
[11] K.Krushna Murthy1, Dr. S.V. Jaya Ram Kumar, “Three-Phase Unbalanced Radial Distribution Load Flow Method”, International Refereed Journal of Engineering and Science, Vol. 1, 2012, pp.039-042.
[12]Abdellatif Hamouda , Khaled Zehar , “Improved algorithm for radial distribution networks load flow solution”, Electrical Power and Energy Systems, Vol. 33, 2011, pp. 508–514.
[13] E. Bompard, E. Carpaneto, G. Chicco, R.Napoli, “Convergence of the backward/forward sweep method for the load-flow analysis of radial distribution systems”, Electrical Power and Energy Systems, Vol.22, 2000, pp. 521–530
[14]. M.P.Selvan, K.S.Swarup, “Distribution System Load Flow using Object-Oriented Methodology”, International Conference on Power System Technology, Vol.2, 2004, pp.1168-1171.

Keywords
MG, DG, PSO, RDS