Impact of Network Reconfiguration on Distribution Systems Performance


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Abstract


This paper investigates the impact of reconfiguration on the efficiency of distribution networks operation. With this purpose, an advanced method of analysis and optimization of Medium Voltage grids configuration has been developed. The proposed model is based on a procedure that optimizes the network structure during a given time interval (e.g. a day or an entire year); both the cases of static (not changing over the whole time interval in analysis) and dynamic configuration have been considered.
The algorithm is divided into two distinct phases: first, the expected profiles of load and generation are managed, solving a classical load flow problem for each time sample and structuring results in appropriate matrices. In the second phase, the previously calculated matrices are processed, defining the best solution w.r.t. a predefined metric.
A model of a real Medium Voltage grid has been processed; the results obtained confirm that the reconfiguration may entail economic improvements w.r.t. real losses on the feeders. In particular, even a reduced number of reconfiguration actions during the year allow a significant decrease in losses, consequently the proposed approach results to fit very well with the Distribution System Operator needs. The innovative contents of the paper are in the procedure developed w.r.t. the DSOs perspective and in the analysis performed on a real life MV distribution grid. In particular, the authors believe the latter is essential to evaluate correctly the performances of the proposed procedure
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Keywords


Distribution Network; Dispersed Generation; Grid Reconfiguration; Network Losses

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References


Augugliaro, L. Dusonchet, M.G. Ippolito, E.R. Sanseverino, Minimum losses reconfiguration of MV distribution networks through local control of tie-switches, IEEE Transactions on Power Delivery, vol. 18, n. 3, July 2003, pp. 762 – 771.

M. Delfanti, D. Falabretti, M. Merlo, Losses assessment on distribution networks in presence of dispersed generation, CIRED Workshop 2012, May 2012, Lisbon, Portugal.

M.E. Baran, F.F. Wu, Network reconfiguration in distribution systems for loss reduction and load balancing, IEEE Transactions on Power Delivery, vol. 4, n. 2, April 1989, pp. 1401 – 1407.

D. Shirmohammadi, H.W. Hong, Reconfiguration of electric distribution networks for resistive line losses reduction, IEEE Transactions on Power Delivery, vol. 4, n. 2, April 1989, pp. 1492 – 1498.

H.D. Chiang, R. Jean-Jumeau, Optimal network reconfigurations in distribution systems – Part 1: A new formulation and a solution methodology, IEEE Transactions on Power Delivery, vol. 5, n. 4, November 1990, pp. 1902 – 1909.

H.D. Chiang, R. Jean-Jumeau, Optimal network reconfigurations in distribution systems – Part 2: Solution algorithms and numerical results, IEEE Transactions on Power Delivery, vol. 5, n. 3, July 1990, pp. 1598 – 1574.

T.P. Wagner, A.Y. Chikhani, R.Hackam, Feeder reconfiguration for loss reduction: an application of distributed automation, IEEE Transactions on Power Delivery, vol. 6, n. 4, October 1991, pp. 1922 – 1933.

S.K. Goswami, S.K. Basu, A new algorithm for the reconfiguration of distribution feeders for loss minimization, IEEE Transactions on Power Delivery, vol. 7, n. 3, July 1992, pp. 1484 – 1491.

A. Augugliaro, L. Dusonchet, S. Mangione, An efficent greedy approach for minimum loss reconfiguration of distribution networks, Electric Power System Research, vol. 35, 1995, pp. 167 – 176.

R. Taleski, D. Rajicic, Distribution Network reconfiguration for energy loss reduction, IEEE Transactions on Power Systems, vol. 12, n. 1, February 1997, pp. 398 – 406.

K.N. Atsushi Shiose, M. Kitagawa, T. Ishihara, Implementation of genetic algorithm for distribution systems loss minimum reconfiguration, IEEE Transactions on Power Systems, vol. 7, n. 3, August 1992, pp. 1044 – 1051.

J.Z. Zhu, Optimal reconfiguration of electrical distribution network using the refined genetic algorithm, Electric Power Systems Research, vol. 62, 2000, pp. 37 – 42.

Y.H. Song, G.S. Wang, A.T. Johns, P.Y. Wang, Distribution network reconfiguration for loss reduction using fuzzy controlled evolutionary programming, IEE Proceedings on Generation Transmission and Distribution, vol. 44, n. 4, July 1997, pp. 345 – 350.

H. Kim, Y. Ko, K.H. Jung, Artificial neural network based feeder reconfiguration for loss reduction in distribution systems, IEEE Transactions on Power Delivery, vol. 8, n. 3, July 1993, pp. 1356 – 1366.

D. Das, A Fuzzy multiobjective approach for network reconfiguration of distribution systems, IEEE Transactions on Power Delivery, vol. 21, n. 1, January 2006, pp. 202 – 209.

T.E. McDermott, I. Drezga, R.P. Broadwater, A heuristic constructive method for distribution system reconfiguration, IEEE Transactions on Power Systems, vol. 14, n. 2, May 1999, pp. 478 – 483.

F.V. Gomes, S. Carniero, J.L.R. Pereira, M.P. Vinagre, P.A.N. Garcia, L.R. de Araujo, A new distribution system reconfiguration approach using optimum power flow and sensitivity analysis for loss reduction, IEEE Transactions on power systems, vol. 21, n. 4, November 2006, pp. 1616 – 1623.

Daoud, A.A., Placement and capacity determination of DG units to maintain grid voltage profile and minimize system losses, (2012) International Review on Modelling and Simulations (IREMOS), 5 (1), pp. 52-59.

Sarvi, M., Torabi, S.M., Fallahpisheh, A., Optimal allocation and sizing of DG on distributed network for voltage profile improvement and voltage imbalance reduction with genetic algorithm, (2011) International Review on Modelling and Simulations (IREMOS), 4 (6), pp. 3148-3154.

P. Zhang, W. Li, S. Wang, Reliability-oriented distribution network reconfiguration considering uncertainties of data by interval analysis, Electrical Power and Energy Systems, vol. 34, 2012, pp. 138 – 144.

J.H. Choi, J.C. Kim, Network reconfiguration at the power distribution system with dispersed generations for loss reduction, IEEE Power Engineering Society Winter Meeting, January 23-27, 2000, Singapore.

V. Calderaro, A. Piccolo, P. Siano, Maximizing DG penetration in distribution network by means of GA based reconfiguration, International Conference on Future Power Systems, November 16-18, 2005, Amsterdam, Netherlands.

Y.K. Wu, C.Y. Lee, L.C. Liu, S.H. Tsai, Study of reconfiguration for the distribution system with distributed generators, IEEE Transactions on Power Delivery, vol. 25, n. 3, July 2010, pp. 1678 – 1685.

Kasaei, M.J., Norouzi, H., Reconfiguration of distribution network with dispersed generations based on ant colony algorithm, (2011) International Review on Modelling and Simulations (IREMOS), 4 (6), pp. 3113-3118.

Quality code for the electricity distribution, metering and sales services for regulatory period 2012-15, Resolution ARG/elt 198/11, 2011. Available on: http://www.autorita.energia.it.

M. Delfanti, M. Merlo, A. Silvestri, M. Gallanti, Impact of distributed generation on distribution networks, Resolution ARG/elt 25/09 dell’Autorità per l’energia elettrica e il gas, 2009.

CENELEC, Standard EN 50160, Voltage characteristics of electricity supplied by public distribution networks, 2000.

A.S.SE.M. S.p.A., http://www.assemspa.it/, 2011.

R. Zimmerman, C. Murillo-Sanchez, R. Thomas, Matpower steady-state operations, planning and analysis tools for power systems research and education, IEEE Transactions on Power Systems, vol. 26, 2011, pp. 12 – 19.

M. Delfanti, D. Falabretti, M. Merlo, Dispersed generation impact on distribution network losses, Electric Power Systems Research, under revision.

Ente per le Nuove tecnologie, l’Energia e l’Ambiente ENEA, Archive of solar radiance, Available on: http://clisun.casaccia.enea.it/Pagine/Radiazione.htm.

Atlasole, http://atlasole.gse.it/atlasole/, 2011.

Farahat, M.A., Abd Elgawed, A.F., Mustafa, H.M.M., Ibrahim, A., Short term load forecasting using BP neural network optimized by particle swarm optimization, (2013) International Review on Modelling and Simulations (IREMOS), 6 (2), pp. 450-454.


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