Vector Swarm Optimization Algorithm for Distributed Generator Allocation

Abstract

In recent years Evolutionary Algorithms (EAs) have been used in solving many numerical optimization problems and their strengths and weaknesses are identified and new strategies for improving them are provided. This paper presents the Vectors Swarm Optimization (VSO) Algorithm for the placement of Distributed Generators (DGs) in the radial distribution systems to reduce the real power losses and to improve the voltage profile. A tow-step procedure is used for the optimal DG placement method. In the first step, single DG placement method is used to fine the optimal DG locations and in the second step, VSO algorithm is used to find the size of the DGs corresponding to maximum loss reduction. The proposed method is tested on standard IEEE 33-bus test system and the results are presented. The proposed method has overcome the other methods in terms of the quality of solution and computational efficiency.

Keywords

• Vector Swarm Optimization (VSO); Distributed Generator (DG); Loss reduction; radial distribution system; capital and operational costs

References

1. C.L.T. Borges, and D.M. Falcao, “Impact of Distributed Generation Allocation and Sizing on Reliability, Losses, and Voltage Profile”, 2003 IEEE Bologna Power Tech
2. Conference Proceedings, Bologna, vol.2, 23-26 June G. Celli and F. Pilo. “Optimal distributed generation allocation in MV distribution networks”, IEEE PES Conference on Power Industry Computer Applications, PICA 2001, Australia, pp. 81-86.
3. Lalitha M. Padama, N. Sinarami Reddy, V.C. Veera Reddy, “ Optimal DG Placement for maximum loss reduction in radial distribution system using ABC Algorithm”, International journal of reviews in computing, 2009, pp.44-52.
4. Edwin B. Cano, “Utilizing Fuzzy Optimization for Distributed Generation Allocation”, IEEE region 10 Conference, TENCON 2007, pp. 1-4, 30 Oct 2007.
5. Durga Gautam, Nadarajah Mithulananthan, “Optimal DG Placement in Deregulated Electricity Market”, Electric Power System Research, 2007, Vol. 77, pp.1627-1636.
6. Walid El-Khattam, Hegazy Y. G.,Salama M. M. A., “Investigating Distributed Generation Systems Performance national Using Monte Carlo Simulation”, IEEE Transactions On Power Systems 2006, Vol. 21, No. , pp. 524-532.
7. Mithulananthan N., Oo Than, Phu Le Van, “Distributed Generation Placement in Power Distribution System Using Genetic Algorithm to Reduce Losses”, Thammasat Int. Journal of Science and Technology, Vol.9, No. 3, pp. 62. J.G. Slootweg,S.W.H de Haan,H.Polinder,W.L.Kling, “Modeling wind turbines in power system dynamics simulations”, IEEE Power Engineering Society Summer Meeting 2001, Vol. 1, pp.22-26.
8. J.G. Slootweg,W.L. Kling,”Modeling and analyzing impacts of wind power on transient stability of power systems”, Engineering,v.26,n.1,2002,pp.3-20. journal of Wind

9. G. Celli, E. Ghaiani, S. Mocci and F. Pilo, “A multiobjective evolutionary algorithm for the sizing and sitting of distributed generation”, IEEE Trans. Power Syst. 2005, vol. 20, No. 2, pp. 750-757.
10. R.E. Brown, J. Pan, X. Feng and K. Koutlev, “Sitting distributed generation to defer T&D expansion”, in Proc. of IEEE Transmission and Distribution Conference and Exposition, USA, vol. 2, 2001; pp.622
11. C. Tautiva, A. Cadena, “Optimal Placement of Distributed Generation on Distribution Networks”, IEEE PES-Transmission and Distribution conference and exposition, Latin America, 13-15 Aug 2008, pp.1-5
12. D.T. Le, M.A. Kashem, M. Negnevitsky, and G. Ledwich, “Optimal Distributed Generation Parameters for Reducing Losses with Economic Consideration”, IEEE General meeting 24-28 June 2007, pp. 1-8.
13. H. Falaghi, M. R. Haghifam, “ACO Algorithm for distributed generation source allocation and sizing in distribution systems”, IEEE Power Tech Conference, 1-5 July 2007, pp. 555-560.
14. X. Feng, Y. Liao, J. Pan, R. E. Brown, “An application of genetic algorithms to integrated system expansion optimization”, in Proc. Of IEEE Power Engineering Society General Meeting, 2003; pp. 741
15. Silvestri a, Berrizi A, Buonanno S, “Distributed Generation Planning Using Genetic Algorithm”, IEEE Int. Conference on Electric Power, Engineering, PowerTech, Budapest, 1999, pp. 257.
16. C. Wang and M.H. Nehrir, “Analogical approaches for optimal placement of distributed generation sources in power systems”, IEEE Trans. Power Syst., vol. 19, No. 4, pp. 2068-2076, 2004.
17. Hajizadeh Amin, Hajizadeh Ehsan, “PSO-Based Planning of Distribution Systems with Distributed Generations”, International Journal of Electrical, Computer, and Systems Engineering, 2008, pp. 33-38.
18. G.W. Ault and J.R. Mc Donald, “Planning for distributed generation within distribution networks in restructured electricity markets”, in Proc. of the IEEE Power Engineering Review, 2000, vol. 20, pp.52-54.
19. M.A. Kashem and G. Ledwich, “Multiple distributed generators for distribution feeder voltage support”, IEEE Trans. Energy Conver. , 2005, vol. 20, No. 3, pp. 676-684. M.Reza,J.G.Slootweg,P.H. chavemaker,
20. W.L.Kling,L. vader Sluis, “Investigating Impact of Distributed stability”, in Proc 2003 IEEE Bolonga PowerTech On
21. Conference, Bolonga , Italy, June 23-26, Vol. 2, pp. 7. M.K.Donnely,J.E. Dagle,D.J. Trudnowski, G.J.Rogers, “Impacts of the distributed utility on transmission system stability”, IEEE Trans. On Power systems, Vol. 11, May 1996, pp. 741-746.
22. Hemdan Nasser G. A., Kurrat Michael, “Allocation of Decentralized Generators in Distribution Networks for Enhancing Normal Operation Load ability”, IEEE Bucharest Power Tech Conference 2009, pp. 1-7.
23. M. Sebastian Rios, S. Marcelo Rubio, “Sequential Optimization for Sitting and Sizing Distributed Generation (DG) in Medium Voltage (MV) Distribution Networks”, IEEE Power Tech Conferences, Lausanne, , pp. 2213-2218.
24. Shayeghi H., Bagheri A., “Considering DG in Expansion Planning of Sub-transmission System”, International Engineering and Information Technology 2011, pp. 357- on Advanced Science,
25. A. Afroomand, A.A. Gharaveisi, F. Mohseni pour, “A new huristic algorithmfor optimizing PID Controller on AVR Systems”, 26th Int. power system conference, Iran, Tehran,pp.1-10. Sara Molazei, “Application of a new Heuristic Algorithm for DG Placement for minimum Loss in Radial Distribution system”, the European workshop and conference on renewable energy, Turkey, Antalya.