Location and Size of Distributed Generation Using Ant Colony Optimization

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Distributed generation (DG) is a recent trend of electricity generation, which aims to use various energy sources to inject electric power in a distributed manner at points close to the load. This paper develops an optimization model to choose the sizes and positions of DG in medium voltage distribution networks in order to minimize the power system losses, given a set of constraints. Ant Colony Optimization (ACO) was used as optimization technique, with excellent results.

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460-466

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] A. Bhowmik, A. Maira, S. Halpin, J. Schatz, Determination of Allowable Penetration Levels of Distributed Generation Resources based on Harmonic Limit Considerations, IEEE Transactions on Power Delivery. Vol. 18, Nº 2, pp.619-624, April (2003).

DOI: 10.1109/tpwrd.2003.810494

Google Scholar

[2] I. Bae, J. Kim, J.C. Kim, C. Singh, Optimal Operating Strategy for Distributed Generation Considering Hourly Reliability Worth, IEEE Transactions on Power Systems. Vol. 19, Nº 1, pp.287-292, February (2004).

DOI: 10.1109/tpwrs.2003.818738

Google Scholar

[3] G. Celli, E. Ghiani, S. Mocci, F. PilIo, A Multiobjective Evolutionary Algorithms for the Sizing and Siting of Distributed Generation, IEEE Transactions on Power Systems. Vol. 20, Nº 2, pp.750-757, May (2005).

DOI: 10.1109/tpwrs.2005.846219

Google Scholar

[4] R. Singh, S. Goswami, Optimum Siting and Sizing of Distributed Generations in Radial and Networked Systems, Electric Power Components and Systems, 37: 127-145, (2009).

DOI: 10.1080/15325000802388633

Google Scholar

[5] G.N. Koutroumpezis, A.S. Safigianni, Optimum allocation of the maximum possible distributed generation penetration in a distribution network, Electric Power Systems Research 80 (2010) 1421–1427.

DOI: 10.1016/j.epsr.2010.06.005

Google Scholar

[6] W. Prommee and W. Ongsakul, Optimal multiple distributed generation placement in microgrid system by improved reinitialized social structures particle swarm optimization, Euro. Trans. Electr. Power 2011; 21: 489–504.

DOI: 10.1002/etep.456

Google Scholar

[7] N. Khalesi a, N. Rezaei a, M. -R. Haghifam, DG allocation with application of dynamic programming for loss reduction and reliability improvement, Electrical Power and Energy Systems 33 (2011) 288–295.

DOI: 10.1016/j.ijepes.2010.08.024

Google Scholar

[8] L. Ochoa, A. Padilha, G. Harrison, Evaluating Distributed Time-Varying Generation through a Multiobjective Index, IEEE Transactions on Power Delivery. Vol. 23, Nº 2, pp.1132-1138, April (2008).

DOI: 10.1109/tpwrd.2008.915791

Google Scholar

[9] R. K. Sing, K. Goswami, "Optimum Siting and Sizing of Distributed Generations in Radial and Networked Systems, Electric Power and Components and Systems, 37: 127-145, (2009).

DOI: 10.1080/15325000802388633

Google Scholar

[10] T. Gözel, M. Hakan, An Analytical Method for the Sizing and Siting of Distributed Generators in Radial Systems, Electric Power Systems Research, 79(2009) 912-918.

DOI: 10.1016/j.epsr.2008.12.007

Google Scholar

[11] W. Khattam, Y. Hegazy, M. Salama, Investigating Distributed Generation Systems Performance Using Monte Carlo Simulation, IEEE Transactions on Power Systems. Vol. 21, Nº 2, pp.524-532, May (2006).

DOI: 10.1109/tpwrs.2006.873131

Google Scholar

[12] H. Gil, G. Joos, Models for Quantifying the Economic Benefits of Distributed Generation, IEEE Transactions on Power Systems, Vol. 23, Nº 2, pp.327-335, May (2008).

DOI: 10.1109/tpwrs.2008.920718

Google Scholar

[13] E.D. Giannoulis, D.A. Haralambopoulos, Distributed Generation in an isolated grid: Methodology of case study for Lesvos – Greece, Applied Energy 88 (2011) 2530–2540.

DOI: 10.1016/j.apenergy.2011.01.046

Google Scholar

[14] Emma M. Stewart, R. Tumilty, John Fletcher, Andrew Lutz, G. Ault, and Jim McDonald, Analysis of a Distributed Grid-Connected Fuel Cell During Fault Conditions, IEEE Transactions on Power Systems, Vol. 25, No. 1, February 2010, pp.497-505.

DOI: 10.1109/tpwrs.2009.2036776

Google Scholar

[15] Lin jikeng, Wang Xudong and Qin Ling, Reliability evaluation for the distribution system with distributed generation, Euro. Trans. Electr. Power 2011; 21: 895–909.

DOI: 10.1002/etep.484

Google Scholar

[16] F. Sheidaei, M. Shadkam, and M. Zarei, Optimal Distributed Generation allocation in Distribution Systems Employing Ant Colony to Reduce Losses, in Universities Power Engineering Conference. UPEC 43rd International, Padova, 2008, pp.1-5.

DOI: 10.1109/upec.2008.4651548

Google Scholar

[17] B. Sookananta, P. Utaton, and R. Khongsila, Determination of Optimal Location and Sizing of Distributed Generation using Ant Colony Search, in Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Mai, 2010, pp.814-817.

Google Scholar