Citation: Abdollah Kavousi-Fard, Amin Khodaei. Multi-objective optimal operation of smart reconfigurable distribution grids[J]. AIMS Energy, 2016, 4(2): 206-221. doi: 10.3934/energy.2016.2.206
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[1] |
Kavousi-Fard A, Rostami MA, Niknam T (2015) Reliability-Oriented Reconfiguration of Vehicle-to-Grid Networks. IEEE T Ind Inform 11: 682–691. doi: 10.1109/TII.2015.2423093
![]() |
[2] |
Kavousi-Fard A, Niknam T, Fotuhi-Firuzabad M (2015) Stochastic Reconfiguration and Optimal Coordination of V2G Plug-in Electric Vehicles Considering Correlated Wind Power Generation. IEEE T Sust Energ 6: 822–830. doi: 10.1109/TSTE.2015.2409814
![]() |
[3] | Baziar A, Kavousi-Fard A (2014) An intelligent multi-objective stochastic framework to solve the distribution feeder reconfiguration considering uncertainty. J Intell Fuzzy Syst 26: 2215–2227. |
[4] |
Morton AB, Mareels IMY (2000) An efficient brute-force solution to the network reconfiguration problem. IEEE T Power Deliver 15: 996–1000. doi: 10.1109/61.871365
![]() |
[5] |
Kim H, Ko Y, Jung KH (1993) Artificial neural-network based feeder reconfiguration for loss reduction in distribution systems. IEEE T Power Deliver 8: 1356–1366. doi: 10.1109/61.252662
![]() |
[6] |
Goswami SK, Basu SK (1992) A new algorithm for the reconfiguration of distribution feeders for loss minimization. IEEE T Power Deliver 7: 1484–1491. doi: 10.1109/61.141868
![]() |
[7] |
Taylor T, Lubkeman D (1990) Implementation of heuristic search strategies for distribution feeder reconfiguration. IEEE T Power Deliver 5: 239–245. doi: 10.1109/61.107279
![]() |
[8] | Lopez E, Opaso H (2004) Online reconfiguration considering variability demand. Applications to real networks. IEEE T Power Syst 19: 549–553. |
[9] | Su CT, Chang CF, Chiou JP (2005) Distribution network reconfiguration for loss reduction by ant colony search algorithm.Electr Pow Syst Res75: 190–199. |
[10] |
Chang CF (2008) Reconfiguration and Capacitor Placement for Loss Reduction of Distribution Systems by Ant Colony Search Algorithm. IEEE T Power Syst 23: 1747–1755. doi: 10.1109/TPWRS.2008.2002169
![]() |
[11] | Shirmohammadi D, Hong HW (1989) Reconfiguration of electric distribution networks for resistive line loss reduction. IEEE T Power Syst 4: 1492–1498. |
[12] | Jeon YJ, Kim JC (2000) Network reconfiguration in radial distribution system using simulated annealing and tabu search. Proc IEEE Power Eng Soc Winter Meeting, 23–27. |
[13] |
Niknam T, Kavousifard A, Tabatabaei S, et al. (2011) Optimal operation management of fuel cell/wind/photovoltaic power sources connected to distribution networks. J Power Sources 196: 8881–8896 doi: 10.1016/j.jpowsour.2011.05.081
![]() |
[14] |
Kavousi-Fard A, Niknam T (2014) Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty. IEEE T Power Deliver 29: 1344–1353. doi: 10.1109/TPWRD.2013.2292951
![]() |
[15] | Amanulla B, Chakrabarti S, Singh SN (2012) Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss. IEEE T Power Deliver 27: 918–926. |
[16] | Kavousi-Fard A, Akbari-Zadeh M-R (2013) Reliability Enhancement Using Optimal Distribution Feeder Reconfiguration. Neuro computing 106: 1–11. |
[17] | Zhou Q, Shirmohammadi D, Liu W (1997) Distribution feeder reconfiguration for service restoration and load balancing. IEEE T Power Syst 2: 724–729. |
[18] |
Frank S, Steponavice I, Rebennack S (2012) Optimal Power Flow: A Bibliographic Survey I - Formulations and Deterministic Methods. Energy Systems 3: 221–258. doi: 10.1007/s12667-012-0056-y
![]() |
[19] |
Frank S, Steponavice I, Rebennack S (2012) Optimal Power Flow: A Bibliographic Survey II - Non-Deterministic and Hybrid Methods. Energy Systems 3: 259–289. doi: 10.1007/s12667-012-0057-x
![]() |
[20] |
Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76: 60–68. doi: 10.1177/003754970107600201
![]() |
[21] |
Yadav P, Kumar R, Panda SK, et al. (2011) An Improved Harmony Search algorithm for optimal scheduling of the diesel generators in oil rig platforms. Energ Convers Manage 52: 893–902. doi: 10.1016/j.enconman.2010.08.016
![]() |
[22] |
Niknam T (2009) A new hybrid algorithm for multiobjective distribution feeder reconfiguration. Energ Convers Manage 50: 2074–2082. doi: 10.1016/j.enconman.2009.03.029
![]() |
[23] | Niknam T (2009) An efficient hybrid evolutionary based on PSO and ACO algorithms for distribution feeder reconfiguration. Eur T Electr Power. DOI: 10,1002/etep.339. |
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