Distribution Feeder Reconfiguration Considering Distributed Generators
Recently, distributed generation technologies have received much attention for the potential energy savings and reliability assurances that might be achieved as a result of their widespread adoption. Fueling the attention have been the possibilities of international agreements to reduce greenhouse gas emissions, electricity sector restructuring, high power reliability requirements for certain activities, and concern about easing transmission and distribution capacity bottlenecks and congestion. So it is necessary that impact of these kinds of generators on distribution feeder reconfiguration would be investigated. This paper presents an approach for distribution reconfiguration considering Distributed Generators (DGs). The objective function is summation of electrical power losses A Tabu search optimization is used to solve the optimal operation problem. The approach is tested on a real distribution feeder.
[1] T. Ackerman, G. Anderson and L. Soder, "Distributed generation:
A definition", Elsevier Science, pp. 195-204, Dec 2000.
[2] P. Chiradeja, and R. Ramakumar, "An approach to quantify the
technical benefits of distributed generation", IEEE Trans. On Energy
Conversion, vol.19, No.4, pp.764-773, Dec. 2004.
[3] Losi and M. Russo, "Dispersed generation modeling for object-oriented
distribution load flow" IEEE Trans. On Power Delivery, Accepted for
future publication, 2005.
[4] A. Merlin, H. Back, "Search for a minimal-loss operating spanning tree
configuration in an urban power distribution system", in Proc. 5th
Power System Computation Conf., Cambridge, U.K., pp. 1-18, 1975.
[5] S.Civanlar,J. J. Grainger, H. Yin, and S. S. H. Lee, "Distribution feeder
reconfiguration for loss reduction," IEEE Transactions on Power
Delivery, vol. 3, no.3, pp. 1217-1223, July 1988.
[6] M. E. Baran ,F. F.Wu, "Network Reconfiguration in Distribution
Systems for Loss Reduction and Load Balancing," IEEE Transaction
on Power System , vol. 4, no. 3, pp. 1401-1407, August 1989.
[7] K Aoki, H Kuwabara, "An Efficient Algorithm for Load Balancing of
Transformers and Feeders by Switch Operation in Large Scale
Distribution Systems," LEEE Transactions on Power Delivery, vol. 3,
no. 4, pp. 1865-1872, 1987.
[8] T.Mc Dermott,I. Drezga, and R. P. Broadwater, "A Heuristic Nonlinear
Constructive Method for Distribution System Reconfiguration," IEEE
Transaction on Power System, vol. 14, no. 2, pp. 478-483, May 1999.
[9] V. Borozan, D. Rajicic, and R. Ackovski, "Improved method for loss
minimization in distribution networks," IEEE Transaction on Power
System, vol. 10, no. 3, pp. 1420-1425, August 1995.
[10] V. Gomes, s. Carneiro, " A New Reconfiguration Algorithm for Large
Distribution Systems," IEEE Transaction on Power System, vol. 20,
no. 3, pp. 1373-1378, August 2005.
[11] S. K. Goswami , S. K. Basu, "A New Algorithm for the
Reconfiguration of Distribution Feeders for Loss Minimization," IEEE
Transaction on Power Delivery., vol. 7, no. 3, pp. 1484-1491, Jul.
1992.
[12] RJ. Sarfi, M.M.A. Sarama and A.Y. Chikhani, "Distribution System
Reconfiguration for Loss Reduction: An Algorithm Based on Network
Partitioning Theory," Proceedings of PICA 1995, May 7-12, Salt Lake
City, Utah, pp. 503-509, May 1995.
[13] M.A.Kashem, loss Reduction in Distribution Networks Using Network
Reconfiguration." p.p.93-103, PSC-96.
[14] G.J. Peponis, W. Papadopoulos and ND. Hatziargyriou, "Distribution
Network Reconfiguration to Minimize Resisive Line Losses," EEE
Tms4ctions on Power Delivety, Vol. IO, No. 3, July, 1995, pp. 1338-
1342.
[15] L.Roytelman, V. Meinick, S. Lee, and R. Lugta,"Multi-Objective
Feeder Reconfiguration by Distribution Management System,"
Proceedings of the 1995 LEEE Power 1 n d . s ~ ~ Compter
Applications Confernce, Salt Lake City, Utah, May 7-12, 1995.
[16] D. Shirmohammadi, H. W. Hong, "Reconfiguration of Electric
Distribution Networks for Resistive Line Loss Reduction," IEEE
Transaction on Power System, vol. 4, no. 1, pp. 1492-1498, April 1989.
[17] W.M. Lin, F.-S. Cheng and M.T. Tsay, "An Improved Tabu Search for
Economic Dispatch With Multiple Minima", IEEE Trans. On Power
Systems, VOL. 17, NO. 1, FEB. 2002.
[18] Glover F., Laguna M., "Tabu Search ", available:
www.geocities.com/francorbusetti/laguna.pdf ).
[19] K.Nara and H. Hu, "A Reactive Power Resource Planning Method By
Tabu Search In Competitive Markets", Power Con 2000 Proceedings of
International Conference on Power Systems Technology, Vol. 2, 2000,
p.p.1089-1094.
[20] C.S. Chang, J.S. Low and D. Srinivasan, "Application of Tabu Search
in Optimal System Design and Operation of MRT Power Supply
Systems", IEE Proc. Electrical Power application, Vol.146, No.1, Jan.
1999.
[21] Losi and M. Russo, "Dispersed generation modeling for object-oriented
distribution load flow" IEEE Trans. On Power Delivery, Accepted for
future publication, 2005.
[22] Y. Zhu and K. Tomsovic, "Adaptive power flow method for
distribution systems with dispersed generation", IEEE Trans. On Power
Delivery, vol.17, No.3, pp. 822-827, July 2002.
[1] T. Ackerman, G. Anderson and L. Soder, "Distributed generation:
A definition", Elsevier Science, pp. 195-204, Dec 2000.
[2] P. Chiradeja, and R. Ramakumar, "An approach to quantify the
technical benefits of distributed generation", IEEE Trans. On Energy
Conversion, vol.19, No.4, pp.764-773, Dec. 2004.
[3] Losi and M. Russo, "Dispersed generation modeling for object-oriented
distribution load flow" IEEE Trans. On Power Delivery, Accepted for
future publication, 2005.
[4] A. Merlin, H. Back, "Search for a minimal-loss operating spanning tree
configuration in an urban power distribution system", in Proc. 5th
Power System Computation Conf., Cambridge, U.K., pp. 1-18, 1975.
[5] S.Civanlar,J. J. Grainger, H. Yin, and S. S. H. Lee, "Distribution feeder
reconfiguration for loss reduction," IEEE Transactions on Power
Delivery, vol. 3, no.3, pp. 1217-1223, July 1988.
[6] M. E. Baran ,F. F.Wu, "Network Reconfiguration in Distribution
Systems for Loss Reduction and Load Balancing," IEEE Transaction
on Power System , vol. 4, no. 3, pp. 1401-1407, August 1989.
[7] K Aoki, H Kuwabara, "An Efficient Algorithm for Load Balancing of
Transformers and Feeders by Switch Operation in Large Scale
Distribution Systems," LEEE Transactions on Power Delivery, vol. 3,
no. 4, pp. 1865-1872, 1987.
[8] T.Mc Dermott,I. Drezga, and R. P. Broadwater, "A Heuristic Nonlinear
Constructive Method for Distribution System Reconfiguration," IEEE
Transaction on Power System, vol. 14, no. 2, pp. 478-483, May 1999.
[9] V. Borozan, D. Rajicic, and R. Ackovski, "Improved method for loss
minimization in distribution networks," IEEE Transaction on Power
System, vol. 10, no. 3, pp. 1420-1425, August 1995.
[10] V. Gomes, s. Carneiro, " A New Reconfiguration Algorithm for Large
Distribution Systems," IEEE Transaction on Power System, vol. 20,
no. 3, pp. 1373-1378, August 2005.
[11] S. K. Goswami , S. K. Basu, "A New Algorithm for the
Reconfiguration of Distribution Feeders for Loss Minimization," IEEE
Transaction on Power Delivery., vol. 7, no. 3, pp. 1484-1491, Jul.
1992.
[12] RJ. Sarfi, M.M.A. Sarama and A.Y. Chikhani, "Distribution System
Reconfiguration for Loss Reduction: An Algorithm Based on Network
Partitioning Theory," Proceedings of PICA 1995, May 7-12, Salt Lake
City, Utah, pp. 503-509, May 1995.
[13] M.A.Kashem, loss Reduction in Distribution Networks Using Network
Reconfiguration." p.p.93-103, PSC-96.
[14] G.J. Peponis, W. Papadopoulos and ND. Hatziargyriou, "Distribution
Network Reconfiguration to Minimize Resisive Line Losses," EEE
Tms4ctions on Power Delivety, Vol. IO, No. 3, July, 1995, pp. 1338-
1342.
[15] L.Roytelman, V. Meinick, S. Lee, and R. Lugta,"Multi-Objective
Feeder Reconfiguration by Distribution Management System,"
Proceedings of the 1995 LEEE Power 1 n d . s ~ ~ Compter
Applications Confernce, Salt Lake City, Utah, May 7-12, 1995.
[16] D. Shirmohammadi, H. W. Hong, "Reconfiguration of Electric
Distribution Networks for Resistive Line Loss Reduction," IEEE
Transaction on Power System, vol. 4, no. 1, pp. 1492-1498, April 1989.
[17] W.M. Lin, F.-S. Cheng and M.T. Tsay, "An Improved Tabu Search for
Economic Dispatch With Multiple Minima", IEEE Trans. On Power
Systems, VOL. 17, NO. 1, FEB. 2002.
[18] Glover F., Laguna M., "Tabu Search ", available:
www.geocities.com/francorbusetti/laguna.pdf ).
[19] K.Nara and H. Hu, "A Reactive Power Resource Planning Method By
Tabu Search In Competitive Markets", Power Con 2000 Proceedings of
International Conference on Power Systems Technology, Vol. 2, 2000,
p.p.1089-1094.
[20] C.S. Chang, J.S. Low and D. Srinivasan, "Application of Tabu Search
in Optimal System Design and Operation of MRT Power Supply
Systems", IEE Proc. Electrical Power application, Vol.146, No.1, Jan.
1999.
[21] Losi and M. Russo, "Dispersed generation modeling for object-oriented
distribution load flow" IEEE Trans. On Power Delivery, Accepted for
future publication, 2005.
[22] Y. Zhu and K. Tomsovic, "Adaptive power flow method for
distribution systems with dispersed generation", IEEE Trans. On Power
Delivery, vol.17, No.3, pp. 822-827, July 2002.
@article{"International Journal of Electrical, Electronic and Communication Sciences:56841", author = "R. Khorshidi and T. Niknam and M. Nayeripour", title = "Distribution Feeder Reconfiguration Considering Distributed Generators", abstract = "Recently, distributed generation technologies have received much attention for the potential energy savings and reliability assurances that might be achieved as a result of their widespread adoption. Fueling the attention have been the possibilities of international agreements to reduce greenhouse gas emissions, electricity sector restructuring, high power reliability requirements for certain activities, and concern about easing transmission and distribution capacity bottlenecks and congestion. So it is necessary that impact of these kinds of generators on distribution feeder reconfiguration would be investigated. This paper presents an approach for distribution reconfiguration considering Distributed Generators (DGs). The objective function is summation of electrical power losses A Tabu search optimization is used to solve the optimal operation problem. The approach is tested on a real distribution feeder.
", keywords = "Distributed Generator, Daily Optimal Operation,Genetic Algorithm.", volume = "2", number = "10", pages = "2260-4", }
