
AIMS Energy, 2016, 4(3): 461480. doi: 10.3934/energy.2016.3.461
Research article Topical Section
Export file:
Format
 RIS(for EndNote,Reference Manager,ProCite)
 BibTex
 Text
Content
 Citation Only
 Citation and Abstract
Reconfiguration of distribution system using a binary programming model
Department of Electrical Engineering, University of Newcastle, Callaghan, NSW2308, Australia.
† Research is supported by the Australian research council.
Received: , Accepted: , Published:
Topical Section: Smart Grids and Networks
References
1. GUROBI Optimization, 2012. Available from: http://www.gurobi.com/.
2. Abur A (1996) A modified linear programming method for distribution system reconfiguration. Int J Elec Power 18: 469474.
3. Ajaja A, Galiana F (2012) Distribution network reconfiguration for loss reduction using milp. IEEE PES ISGT , 16.
4. Baran M, Wu F (1989) Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Trans Power Deliver 4: 14011407.
5. Brown R (2008) Impact of smart grid on distribution system design. Power and Energy Society General Meeting  Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE. 14.
6. Carreno E, Romero R, PadilhaFeltrin A (2008) An efficient codification to solve distribution network reconfiguration for loss reduction problem. IEEE Trans Power Syst 23: 15421551.
7. Chiang HD, JeanJumeau R (1990) Optimal network reconfigurations in distribution systems. i. a new formulation and a solution methodology. IEEE Trans Power Deliver 5: 19021909.
8. Ciric R, Popovic D (2000) Multiobjective distribution network restoration using heuristic approach and mix integer programming method. Int J Elec Power 22: 497505.
9. Das D (2006) Reconfiguration of distribution system using fuzzy multiobjective approach. Int J Elec Power 28: 331338.
10. E Afzalan MS, Taghikhani MA (2012) Optimal placement and sizing of dg in radial distribution networks using sfla. Int J Energy Engin 3: 21631891.
11. Enacheanu B, Raison B, Caire R, et al. (2008) Radial network reconfiguration using genetic algorithm based on the matroid theory. IEEE Trans Power Syst 23: 186195.
12. Franco JF, Rider MJ, Lavorato M, et al. (2013) A mixedinteger {LP} model for the reconfiguration of radial electric distribution systems considering distributed generation. Electr Pow Syst Res 97: 5160.
13. Gomes F, Carneiro JS, Pereira J, et al. (2005) A new heuristic reconfiguration algorithm for large distribution systems. IEEE Trans Power Syst 20: 13731378.
14. Gomes F, Carneiro S, Pereira J, et al. (2006) A new distribution system reconfiguration approach using optimum power flow and sensitivity analysis for loss reduction. IEEE Trans Power Syst 21: 16161623.
15. Goswami S, Basu S (1992) A new algorithm for the reconfiguration of distribution feeders for loss minimization. IEEE Trans Power Deliver 7: 14841491.
16. Guimaraes MAN, Castro CA (2005) Reconfiguration of distribution systems for loss reduction using tabu search. 15th PSCC, 110.
17. Ipakchi A, Albuyeh F (2009) Grid of the future. IEEE Power Energy M 7: 5262.
18. Khodr H, MartinezCrespo J, Matos M, et al. (2009) Distribution systems reconfiguration based on opf using benders decomposition. IEEE Trans Power Deliver 24: 21662176.
19. MahboubiMoghaddam E, Narimani MR, Khooban MH, et al. (2016) Multiobjective distribution feeder reconfiguration to improve transient stability, and minimize power loss and operation cost using an enhanced evolutionary algorithm at the presence of distributed generations. Int J Elec Power 76: 3543.
20. Mantawy A, AbdelMagid Y, Selim S (1999) Integrating genetic algorithms, tabu search, and simulated annealing for the unit commitment problem. IEEE Trans Power Syst 14: 829836.
21. Matos M, Melo P (2001) Loss minimization in distribution networks with multiple load scenarios. In Power Tech Proceedings, 2001 IEEE Porto 3, 5.
22. McDermott T, Drezga I, Broadwater R (1999) A heuristic nonlinear constructive method for distribution system reconfiguration. IEEE Trans Power Syst 14: 478483.
23. Merlin A, Back H (1975) Search for a MinimalLoss Operating Spanning Tree Configuration in an Urban Power Distribution System. Proc. 5th Power System Computation Conference (PSCC) (Cambridge, U.K.).
24. Milani AE, Haghifam MR (2013a) An evolutionary approach for optimal time interval determination in distribution network reconfiguration under variable load. Math Comput Model 57: 6877.
25. Milani AE, Haghifam MR (2013b) A new probabilistic approach for distribution network reconfiguration: Applicability to real networks. Mathematical and Computer Modelling 57: 169179.
26. Momoh J, Caven A (2003) Distribution system reconfiguration scheme using integer interior point programming technique. Transmission and Distribution Conference and Exposition, 2003 IEEE PES 1: 234241.
27. Moradzadeh B, Tomsovic K (2012) Mixed integer programmingbased reconfiguration of a distribution system with battery storage. North American Power Symposium (NAPS), 2012, 16.
28. Nagata T, Sasaki H, Yokoyama R (1995) Power system restoration by joint usage of expert system and mathematical programming approach. IEEE Trans Power Syst 10: 14731479.
29. Narimani M, Vahed A, AzizipanahAbarghooee R, et al. (2014) Enhanced gravitational search algorithm for multiobjective distribution feeder reconfiguration considering reliability, loss and operational cost. IET Gener Transm Dis 8: 5569.
30. Shirmohammadi D, Hong H (1989) Reconfiguration of electric distribution networks for resistive line losses reduction. IEEE Trans Power Deliver 4: 14921498.
31. Wu YK, Lee CY, Liu LC, et al. (2010) Study of reconfiguration for the distribution system with distributed generators. IEEE Trans Power Deliver 25: 16781685.
32. Xiaodan Y, Hongjie J, Chengshan W, et al. (2009) Network reconfiguration for distribution system with microgrids. Sustainable Power Generation and Supply, 2009. SUPERGEN ’09. International Conference on, 14.
33. Xyngi I, Ishchenko A, Popov M, et al. (2009) Transient stability analysis of a distribution network with distributed generators. IEEE Trans Power Syst 24: 11021104.
34. Yen JY (1971) Finding the k shortest loopless paths in a network. Management Science 17, 712716.
35. Zimmerman R, MurilloS´ a andnchez C, Thomas R (2011) Matpower: Steadystate operations, planning, and analysis tools for power systems research and education. IEEE Trans Power Syst 26: 1219.
Copyright Info: © 2016, Md Mashud Hyder, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)