Phasor Discrete Particle Swarm Optimization Algorithm to Configure Micro-grids

- Journal title : Journal of Electrical Engineering and Technology
- Volume 7, Issue 1, 2012, pp.9-16
- Publisher : The Korean Institute of Electrical Engineers
- DOI : 10.5370/JEET.2012.7.1.9

Title & Authors

Phasor Discrete Particle Swarm Optimization Algorithm to Configure Micro-grids

Bae, In-Su; Kim, Jin-O;

Bae, In-Su; Kim, Jin-O;

Abstract

The present study presents the Phasor Discrete Particle Swarm Optimization (PDPSO) algorithm, an effective optimization technique, the multi-dimensional vectors of which consist of magnitudes and phase angles. PDPSO is employed in the configuration of micro-grids. Micro-grids are concepts of distribution system that directly unifies customers and distributed generations (DGs). Micro-grids could supply electric power to customers and conduct power transaction via a power market by operating economic dispatch of diverse cost functions through several DGs. If a large number of micro-grids exist in one distribution system, the algorithm needs to adjust the configuration of numerous micro-grids in order to supply electric power with minimum generation cost for all customers under the distribution system.

Keywords

Phasor Discrete Particle Swarm Optimization (Phasor DPSO);Micro-grid;Distributed Generation (DG);

Language

English

Cited by

1.

References

1.

K. Dielmann and Alwin van der Velden, "Virtual power plants (VPP) - a new perspective for energy generation?", Modern Techniques and Technologies, Proceedings of the 9th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists, pp. 18-20, 2003.

2.

T. K. Panigrahi, S. Chowdhury, S. P. Chowdhury, N. Chakraborty and Y. H. Song, "Control & Reliability Issue of Efficient Microgrid Operation using Hybrid Distributed Energy Sources", Power Systems Conference and Exposition 2006, pp. 797-802, Oct.-Nov. 2006.

3.

I. S. Bae and J. O Kim, "Reliability Evaluation of Distributed Generation Based on Operation Mode", IEEE Transactions on Power Systems, Vol. 22, No. 2, pp. 785-790, May 2007.

4.

A. L. Dimeas and N. D. Hatziargyriou, "Operation of a Multiagent System for Microgrid Control", IEEE Transactions on Power Systems, Vol. 20, No. 3, pp. 1447-1455, Aug. 2005.

5.

C. A. Hernandez-Aramburo, T. C. Green and N. Mugniot, "Fuel consumption minimization of a microgrid", IEEE Transactions on Industry Applications, pp. 671-681, 2005.

6.

C. S. Chang and W. Fu, "Stochastic multiobjective generation dispatch of combined heat and power systems", IEE Proceedings Generation, Transmission and Distribution, vol. 145, no. 5, pp. 583-591, 1998.

7.

E. Ghiani, S. Mocci and F. Pilo, "Optimal reconfiguration of distribution networks according to the microgrid paradigm", International Conference on Future Power Systems, pp. 6, 2005.

8.

M. R. Vallem, J. Mitra and S. B. Patra, "Distributed Generation Placement for Optimal Microgrid Architecture", PES TD 2005/2006, pp. 1191-1195, May 2006.

9.

R. Caldon, A. R. Patria and R. Turri, "Optimisation algorithm for a virtual power plant operation", Universities Power Engineering Conference 2004, Vol. 3, pp. 1058-1062, Sept. 2004.

10.

D. Pudjianto, C. Ramsay and G. Strbac, "Virtual power plant and system integration of distributed energy sources Renewable Power Generation", IET, Vol. 1, No. 1, pp. 10-16, March 2007.

11.

J. Kennedy and R. C. Eberhart, "Particle Swarm Optimization", Proc. IEEE International Conference on Neural Networks, pp. 1942-1948, 1995.

12.

S. Sivanagaraju, J. Viswanatha Rao and P. Sangameswara Raju, "Discrete Particle Swarm Optimization to network reconfiguration for loss reduction and load balancing", Electric Power Components and Systems, vol. 36, pp. 513-524, 2008.

13.

D. S. Kirschen and G. Strbac, Fundamentals of Power System Economics, John Wiley & Sons, 2004.

14.

H. Saadat, Power System Analysis, McGraw-Hill, 2nd Edition, 2004.

15.

M. Shahidehpour and M. Marwali, Maintenance Scheduling in Restructured Power Systems, Kluwer Academic Publishers, 2000.