International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 9 - Issue 4, April 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Distribution Network Reconfiguration Under Uncertainties In Load And Renewable Generation Forecast

[Full Text]



Arjun Tyagi, Krishan Kumar, Kamaldeep, Nitin Tyagi and Vinaya Rana



Boundary power flow, distribution network, forecast, optimization, reconfiguration, renewable generation, uncertainties.



Nowadays, forecasted data for load and renewable generation is available with a very short time interval. These load and renewable generation forecasts always have uncertainties. Hence, in the presence of renewable-based distributed generations, conventional approaches of reconfiguration may not be effective. Very few efforts in a probabilistic manner exist to perform these types of uncertainties. It requires the historical database to be presented. It is still a challenge to account for the haphazard uncertainties. Hence, the uncertainties in load and forecasts of renewable generation are considered in this work and the optimal reconfiguration of the distribution network is proposed.



[1] M. R. Dorostkar-Ghamsari, M. Fotuhi-Firuzabad, M. Lehtonen and A. Safdarian, “Value of Distribution Network Reconfiguration in Presence of Renewable Energy Resources,” IEEE Transactions on Power Systems, May 2016, vol. 31, no. 3, pp. 1879-1888.
[2] P. R. Bijwe, A. Verma and Y. V. M. S. Prakash, “Reactive power planning with uncertainties in load/generation specifications,” 2014 IEEE PES General Meeting, Conference & Exposition, National Harbor, MD, 2014, pp. 1-5.
[3] A. G. Fonseca, O. L. Tortelli and E. M. Lourenço, “Extended fast decoupled power flow for reconfiguration networks in distribution systems,” IET Generation, Transmission & Distribution, 2018, vol. 12, no. 22, pp. 6033-6040.
[4] A. Verma, P. R. Bijwe, and B. K. Panigrahi, “Heuristic method for transmission network expansion planning with security constraints and uncertainty in load specifications,” IEEE Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009.
[5] Optimal Power Flow: Solution Techniques, Requirements and Challenges, IEEE Tutorial Course, 96 TP 111-0.
[6] Krishan Kumar and M. A. Ansari, “Evaluation of Power Management Strategy for Renewable Microgrid System”, vol. 6, no. 2, 2018.
[7] A. Tyagi, A. Verma and L. K. Panwar, “Optimal Placement and Sizing of Distributed Generation in an Unbalance Distribution System using Gray Wolf Optimization Method”, International Journal of Power and Energy Conversion, Nov. 2017.
[8] M. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE Transactions on Power Delivery, April 1989, vol. 4, no. 2, pp. 1401-1407.
[9] S. Huang and V. Dinavahi, “Fast distribution network reconfiguration with graph theory,” IET Generation, Transmission & Distribution, 2018, vol. 12, no. 13, pp. 3286-3295.
[10] X. Ji, Q. Liu, Y. Yu, S. Fan and N. Wu, “Distribution network reconfiguration based on vector shift operation,” IET Generation, Transmission & Distribution, 2018, vol. 12, no. 13, pp. 3339-3345.
[11] A. M. Tahboub, V. R. Pandi and H. H. Zeineldin, “Distribution System Reconfiguration for Annual Energy Loss Reduction Considering Variable Distributed Generation Profiles,” IEEE Transactions on Power Delivery, Aug. 2015, vol. 30, no. 4, pp. 1677-1685.
[12] C. Feng, W. Liu, F. Wen, Z. Li, M. Shahidehpour and X. Shen, "Expansion planning for active distribution networks considering deployment of smart management technologies," in IET Generation, Transmission & Distribution, 2018, vol. 12, no. 20, pp. 4605-4614.
[13] M. Andervazh, J. Olamaei and M. Haghifam, “Adaptive multi-objective distribution network reconfiguration using multi-objective discrete particles swarm optimisation algorithm and graph theory,” IET Generation, Transmission & Distribution, December 2013, vol. 7, no. 12, pp. 1367-1382.
[14] A. Tyagi, A. Verma and P. R. Bijwe, “Reconfiguration for Loadability Limit Enhancement of Distribution Systems”, IET Generation, Transmission & Distribution, February 2018, vol. 12, no. 1, pp. 88-93.
[15] Krishan R., and A. Verma. "Robust tuning of power system stabilizers using hybrid intelligent algorithm." In 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016, pp. 1-5.
[16] H. Haghighat and B. Zeng, “Distribution System Reconfiguration Under Uncertain Load and Renewable Generation,” IEEE Trans. on Power Systems, July 2016, vol. 31, no. 4, pp. 2666-2675.
[17] A. Keane, L. F. Ochoa, C. L. T. Borges, G. W. Ault, A. D. Alarcon-Rodriguez, R. A. F. Currie, F. Pilo, C. Dent, and G. P. Harrison, “Stateof- the-art techniques and challenges ahead for distributed generation planning and operation,” IEEE Transaction on Power Systems, May 2013, vol. 28, no. 2, pp. 1493-1502.
[18] R. S. Rao, K. Ravindra, K. Satish, and S. V. L. Narasimham, “Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation,” IEEE Transaction on Power Systems, Feb. 2013, vol. 28, no. 1, pp. 317-325.
[19] F. Ding and K. A. Loparo, “Feeder Reconfiguration for Unbalanced Distribution Systems with Distributed Generation: A Hierarchical Decentralized Approach,” IEEE Transactions on Power Systems, March 2016, vol. 31, no. 2, pp. 1633-1642.
[20] Kumar K, Ansari MA, Varshney SK, Rana V, Tyagi A. An Efficient Technique for Power Management in Hybrid Solar PV and Fuel Cell System. Smart Science, Jul 2018, vol. 6, no. 3, pp. 234-44.
[21] Rana V, Ansari MA, Chauhan YK, Tyagi A, Kumar K., “A novel scheme of parameters control of microturbine system at different loading conditions”, Journal of Information and Optimization Sciences., Jan 2020, vol. 41, no. 2, pp. 293-303.