Optimal network reconfiguration for congestion management optimization in active distribution networks

M. Alonso, H.Amarís, B. Rojas, D. Della Giustina, A. Dedè, Z. Al-Jassim



Recently, the distribution networks are working close to their physical device limits. When congestion takes place, distributed switches can be controlled to change their status in order to find a new optimal network configuration that solves that congestion. In this paper, a new methodology for congestion management by means of distributed network reconfiguration is presented. Switches and controllable voltage units such as PV units were used in the optimization process. The optimization process is guided by a weighted objective function that takes into account real power losses as well as operational limits of the power system under study. The methodology is tested in an Italian real power distribution system.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ),Vol. 1, Nº. 14
Pages:879-884 Date of Publication: 2016/5/20
ISSN: 2172-038X Date of Current Version:2016/5/4
REF:503-16 Issue Date: May 2016
DOI:10.24084/repqj14.503 Publisher: EA4EPQ

Authors and affiliations

M. Alonso(1), H.Amarís(1), B. Rojas(1), Davide Della Giustina(2), A. Dedè(2), Zaid Al-Jassim(3)
1. Universidad Carlos III de Madrid, Department. Electrical Engineering. Spain
2. A2A Reti Elettiche, Lombardia. Italy
3. Dansk Energi (Danish Energy Association), Copenhague. Denmark

Key words

Smart Grids, Network Reconfiguration, Algorithm, Congestion Management.


[1] K. Vijayakumar, “Multiobjective Optimization Methods for Congestion Management in Deregulated Power Systems,” Journal of Electrical and Computer Engineering, vol. 2012, Article ID 962402, 8 pages, 2012.
[2] Deepak Divan and Harjeet Johal. “Distributed FACTS—A New Concept for Realizing Grid Power Flow Control”. IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 22, NO. 6, NOVEMBER 2007
[3] M. H. Shariatkhah, M. R. Haghifam, “Using feeder reconfiguration for congestion management of smart distribution network with high DG penetration”. CIRED workshop 29-30 may 2012.
[4] B. Enacheanu, B. Raison, R. Caire, O. Devaux, W. Bienia, N. HadjSaid, Radial Network Reconfiguration Using Genetic Algorithm Based on the Matroid Theory. IEEE trans on Power Systems, vol. 23, no. 1, pp. 186 -195, 2008.
[5] A. Abur, “A modifed linear programming method for distribution system reconfiguration," Electric Power and Energy Systems, vol. 18, pp. 469-474, Oct.1996.
[6] G. Celli, M. Loddo, F. Pilo, and A. Abur, “On-line network reconfiguration for loss reduction in distribution networks with distributed generation," 18th International Conference and Exhibition on Electricity Distribution, 2005., pp. 6-9, CIRED 2005.(Turin, Italy) Jun. 2005.
[7] B. Moradzadeh and K. Tomsovic, “Optimal distribution system reconfiguration and restoration without heuristics," in 17th Power System Computation Conference, (Stockholm), pp. 1-7, Jul. 2011.
[8] J. F. Franco, M. J. Rider, M. Lavorato, and R. Romero, “A mixed integer LP model for the reconfiguration of radial electric distribution systems considering distributed generation,” Elect. Power Syst. Res.,vol. 97, no. 4, pp. 51–60, 2013.
[9] M. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing," IEEE Trans. on Power Delivery, vol. 9,pp. 1401-1407, Apr. 1989.
[10] A. Delbem, A. de Carvalho, and N. G. Bretas, “Main chain representation for evolutionary algorithms applied to distribution system reconfiguration," IEEE Trans. Power System, vol. 20, pp. 425-436, Feb. 2005.
[11] J. Mendoza, R. Lopez, D. Morales, E. Lopez, P. Dessante, and R. Moraga, “Minimal loss reconfiguration using genetic algorithms with restricted population and addressed operators: Real application," IEEE Trans. Power System, vol. 21,pp. 948-954, May 2006.
[12] E. M. Carreo, R. Romero, and A. Padilha-Feltrin, “An efficient codification to solve distribution network reconfiguration for loss reduction problem," IEEE Trans. Power System, vol. 23, pp. 1542-1551, May 2008.
[13] A. Vargas and M.E. Samper, “Real-Time Monitoring and Economic Dispatch of Smart Distribution Grids: High Performance Algorithms for DMS Applications”, under publication on IEEE Transaction on SmartGrids, Digital Object Identifier 10.1109/TSG.2012.2187078.
[14] S. Bruno, S. Lamonaca, M. La Scala, U. Stecchi, “Integration of Optimal Reconfiguration Tools in Advanced Distribution Management System”, 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Berlin.