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Volumn 53, Issue 4, 2010, Pages 950-959

A hybrid evolutionary algorithm for distribution feeder reconfiguration

Author keywords

Binary particle swarm optimization (BPSO); Discrete particle swarm optimization (DPSO); Distribution feeder reconfiguration (DFR); Evolutionary algorithms (EA); Self adaptive particle swarm optimization (SAPSO); Shuffled frog leaping algorithm (SFLA)

Indexed keywords

FEEDING; GLOBAL OPTIMIZATION;

EID: 77953614410     PISSN: 16747321     EISSN: 18691900     Source Type: Journal    
DOI: 10.1007/s11431-010-0116-2     Document Type: Article
Times cited : (26)

References (33)
  • 1
    • 0027632024 scopus 로고
    • Artificial neural-network based feeder reconfiguration for loss reduction in distribution systems
    • Kim H, Ko Y, Jung K H. Artificial neural-network based feeder reconfiguration for loss reduction in distribution systems. IEEE Tran. Power Del, 1993, 8: 1356-1366
    • (1993) IEEE Tran. Power Del , vol.8 , pp. 1356-1366
    • Kim, H.1    Ko, Y.2    Jung, K.H.3
  • 2
    • 0025249017 scopus 로고
    • Implementation of heuristic search strategies for distribution feeder reconfiguration
    • Taylor T, Lubkeman D. Implementation of heuristic search strategies for distribution feeder reconfiguration. IEEE Trans Power Del, 1990, 5: 239-245
    • (1990) IEEE Trans Power Del , vol.5 , pp. 239-245
    • Taylor, T.1    Lubkeman, D.2
  • 4
    • 84954443758 scopus 로고    scopus 로고
    • Network reconfiguration in radial distribution system using simulated annealing and tabu search
    • Jeon Y J, Kim J C. Network reconfiguration in radial distribution system using simulated annealing and tabu search. In: Proc IEEE Power Eng Soc Winter Meeting, 2000, 4: 2329-2333
    • (2000) Proc IEEE Power Eng Soc Winter Meeting , vol.4 , pp. 2329-2333
    • Jeon, Y.J.1    Kim, J.C.2
  • 6
    • 0034223728 scopus 로고    scopus 로고
    • An efficient brute-force solution to the network reconfiguration problem
    • Morton A B, Mareels I M Y. An efficient brute-force solution to the network reconfiguration problem. IEEE Trans Power Del, 2000, 15:996-1000
    • (2000) IEEE Trans Power Del , vol.15 , pp. 996-1000
    • Morton, A.B.1    Mareels, I.M.Y.2
  • 7
    • 0026899942 scopus 로고
    • A new algorithm for the reconfiguration of distribution feeders for loss minimization
    • Goswami S K, Basu S K. A new algorithm for the reconfiguration of distribution feeders for loss minimization. IEEE Trans Power Del, 1992, 7: 1484-1491
    • (1992) IEEE Trans Power Del , vol.7 , pp. 1484-1491
    • Goswami, S.K.1    Basu, S.K.2
  • 8
    • 10744221468 scopus 로고    scopus 로고
    • Online reconfiguration considering variability demand: Applications to real networks
    • Lopez E, Opaso H. Online reconfiguration considering variability demand: Applications to real networks. IEEE Trans Power Syst, 2004, 19: 549-553
    • (2004) IEEE Trans Power Syst , vol.19 , pp. 549-553
    • Lopez, E.1    Opaso, H.2
  • 9
    • 33244492397 scopus 로고    scopus 로고
    • A fuzzy multi-objective approach for network reconfiguration of distribution systems
    • Debaprya D. A fuzzy multi-objective approach for network reconfiguration of distribution systems. IEEE Trans Power Del, 2006, 21:202-209
    • (2006) IEEE Trans Power Del , vol.21 , pp. 202-209
    • Debaprya, D.1
  • 10
    • 70149120175 scopus 로고    scopus 로고
    • A New hybrid algorithm for multiobjective distribution feeder reconfiguration
    • Niknam T. A New hybrid algorithm for multiobjective distribution feeder reconfiguration. Cybernetics and Systems: An Intl J, 2009, 40:1-20
    • (2009) Cybernetics and Systems: An Intl J , vol.40 , pp. 1-20
    • Niknam, T.1
  • 12
    • 67349098007 scopus 로고    scopus 로고
    • An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective Distribution Feeder Reconfiguration
    • Niknam T. An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective Distribution Feeder Reconfiguration. Energy Conv Manag, 2009, 50: 2074-2082
    • (2009) Energy Conv Manag , vol.50 , pp. 2074-2082
    • Niknam, T.1
  • 13
    • 0034138772 scopus 로고    scopus 로고
    • Reconfiguration of distribution networks based on fuzzy genetic algorithms (in Chinese)
    • Liu L, Chen X. Reconfiguration of distribution networks based on fuzzy genetic algorithms (in Chinese). Proc CSEE, 2000, 20: 66-69
    • (2000) Proc CSEE , vol.20 , pp. 66-69
    • Liu, L.1    Chen, X.2
  • 14
    • 0037168882 scopus 로고    scopus 로고
    • A Refined genetic algorithm for power distribution network reconfiguration (in Chinese)
    • Bi P, Liu J, Liu C. A Refined genetic algorithm for power distribution network reconfiguration (in Chinese). Autom Elec Power Syst, 2002, 26: 57-61
    • (2002) Autom Elec Power Syst , vol.26 , pp. 57-61
    • Bi, P.1    Liu, J.2    Liu, C.3
  • 15
    • 49749101459 scopus 로고    scopus 로고
    • Reconfiguration of electric distribution networks for resistive line loss reduction
    • Shirmohammadi D, Hong H W. Reconfiguration of electric distribution networks for resistive line loss reduction. IEEE Trans Power Syst, 1998, 4: 1492-1498
    • (1998) IEEE Trans Power Syst , vol.4 , pp. 1492-1498
    • Shirmohammadi, D.1    Hong, H.W.2
  • 16
    • 52349120671 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization approach for distribution network reconfiguration problem
    • Li Z K, Chen X Y, Yu K, et al. A hybrid particle swarm optimization approach for distribution network reconfiguration problem. IEEE Power Energy Soc General Meeting, 2007. 1-7
    • (2007) IEEE Power Energy Soc General Meeting , pp. 1-7
    • Li, Z.K.1    Chen, X.Y.2    Yu, K.3
  • 17
    • 70449427724 scopus 로고    scopus 로고
    • Improved genetic algorithm with infea- sible solution disposing of distribution network reconfiguration
    • Yu J M, Zhang F, Ni F, et al. Improved genetic algorithm with infea- sible solution disposing of distribution network reconfiguration. IEEE Intel Syst, 2009, 2: 48-52
    • (2009) IEEE Intel Syst , vol.2 , pp. 48-52
    • Yu, J.M.1    Zhang, F.2    Ni, F.3
  • 18
    • 21144447492 scopus 로고    scopus 로고
    • Electrical distribution networks reconfiguration using dynamic programming
    • Liu B S, Xie K G, Zhou Ji Q. Electrical distribution networks reconfiguration using dynamic programming. Proc CSEE, 2005, 25: 29-34
    • (2005) Proc CSEE , vol.25 , pp. 29-34
    • Liu, B.S.1    Xie, K.G.2    Zhou Ji, Q.3
  • 19
    • 10844249490 scopus 로고    scopus 로고
    • An improved Tabu search for reconfiguration of distribution systems
    • Ge S Y, Liu Z F, Yu Y X. An improved Tabu search for reconfiguration of distribution systems. Power Syst Technol, 2004, 29: 22-26
    • (2004) Power Syst Technol , vol.29 , pp. 22-26
    • Ge, S.Y.1    Liu, Z.F.2    Yu, Y.X.3
  • 20
    • 10644281395 scopus 로고    scopus 로고
    • Reconfiguration of distribution networks based on family eugenics based evolution algorithms
    • Ma X F, Zhang L Z, Kong L Y. Reconfiguration of distribution networks based on family eugenics based evolution algorithms. Proc CSEE, 2004, 24: 97-102
    • (2004) Proc CSEE , vol.24 , pp. 97-102
    • Ma, X.F.1    Zhang, L.Z.2    Kong, L.Y.3
  • 21
    • 33750576090 scopus 로고    scopus 로고
    • An artificial immune algorithm to distribution network reconfiguration
    • Meng W C, Qiu J J. An artificial immune algorithm to distribution network reconfiguration. Proc CSEE, 2006, 26: 25-29
    • (2006) Proc CSEE , vol.26 , pp. 25-29
    • Meng, W.C.1    Qiu, J.J.2
  • 22
    • 0038155293 scopus 로고    scopus 로고
    • Network reconfiguration of distribution systems using improved mixed-integer hybrid differential evolution
    • Su C T, Lee C S. Network reconfiguration of distribution systems using improved mixed-integer hybrid differential evolution. IEEE Trans Power Del, 2003, 18: 1022-1027
    • (2003) IEEE Trans Power Del , vol.18 , pp. 1022-1027
    • Su, C.T.1    Lee, C.S.2
  • 23
    • 18944370074 scopus 로고    scopus 로고
    • Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems
    • Chiou J P, Chang C F, Su C T. Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems. IEEE Trans Power Syst, 2005, 20: 668-674
    • (2005) IEEE Trans Power Syst , vol.20 , pp. 668-674
    • Chiou, J.P.1    Chang, C.F.2    Su, C.T.3
  • 24
    • 0028426138 scopus 로고
    • Netwok reconfiguration in distribution system using simulated annealing
    • Cheng H, Kou C C. Netwok reconfiguration in distribution system using simulated annealing. Elec Power Syst Res, 1994, 29: 227-238
    • (1994) Elec Power Syst Res , vol.29 , pp. 227-238
    • Cheng, H.1    Kou, C.C.2
  • 25
    • 49249114455 scopus 로고    scopus 로고
    • An efficient algorithm for minimum loss reconfiguration of Distribution system based on sensitivity and heuristics
    • Viswanadha Raju G K, Bijwe P R. An efficient algorithm for minimum loss reconfiguration of Distribution system based on sensitivity and heuristics. IEEE Trans Power Syst, 2008, 23: 1280-1287
    • (2008) IEEE Trans Power Syst , vol.23 , pp. 1280-1287
    • Viswanadha Raju, G.K.1    Bijwe, P.R.2
  • 26
    • 34548073590 scopus 로고    scopus 로고
    • An AIS-ACO hybrid approach for multi- objective distribution system reconfiguration
    • Ahuja A, Das S, Pahwa A. An AIS-ACO hybrid approach for multi- objective distribution system reconfiguration. IEEE Trans Power Syst, 2007, 22: 1101-1111
    • (2007) IEEE Trans Power Syst , vol.22 , pp. 1101-1111
    • Ahuja, A.1    Das, S.2    Pahwa, A.3
  • 27
    • 22344432656 scopus 로고    scopus 로고
    • Comparison among five evolutionary-based optimization algorithms
    • Elbeltagi E, Hegazy T, Grierson D. Comparison among five evolutionary-based optimization algorithms. Adv Eng Inform, 2005, 19: 43-53
    • (2005) Adv Eng Inform , vol.19 , pp. 43-53
    • Elbeltagi, E.1    Hegazy, T.2    Grierson, D.3
  • 29
    • 77049101395 scopus 로고    scopus 로고
    • Multi-objective parameter estimation of induction motor using particle swarm optimization
    • doi:10.1016/j.engappai.2009.06.004
    • Sakthivel V P, Bhuvaneswari R, Subramanian S. Multi-objective parameter estimation of induction motor using particle swarm optimization. Eng Appl Artif Intel, doi:10.1016/j.engappai.2009.06.004, 2009
    • (2009) Eng Appl Artif Intel
    • Sakthivel, V.P.1    Bhuvaneswari, R.2    Subramanian, S.3
  • 30
    • 67349127258 scopus 로고    scopus 로고
    • Signature verification (SV) toolbox: Application of PSO-NN
    • Taylan Das M, Canan Dulger L. Signature verification (SV) toolbox: Application of PSO-NN. Engg Appl Artif Intel, 2009, 22: 688-694
    • (2009) Engg Appl Artif Intel , vol.22 , pp. 688-694
    • Taylan Das, M.1    Canan Dulger, L.2
  • 31
    • 33750625354 scopus 로고    scopus 로고
    • An effective co-evolutionary particle swarm optimization for constrained engineering design problems
    • He Q, Wang L. An effective co-evolutionary particle swarm optimization for constrained engineering design problems. Eng Appl Artif Intel, 2007, 20: 88-89
    • (2007) Eng Appl Artif Intel , vol.20 , pp. 88-89
    • He, Q.1    Wang, L.2
  • 32
    • 0038363680 scopus 로고    scopus 로고
    • Optimization of water distribution network design using the shuffled frog leaping algorithm
    • Eusuff M, Lansey K. Optimization of water distribution network design using the shuffled frog leaping algorithm. J Water Resour Plan Manag, 2003, 129: 10-25
    • (2003) J Water Resour Plan Manag , vol.129 , pp. 10-25
    • Eusuff, M.1    Lansey, K.2
  • 33
    • 52149101391 scopus 로고    scopus 로고
    • An improved shuffled frog leaping algorithm with cognitive behavior
    • Zhang X C, Hu X M, Cui G Z, et al. An improved shuffled frog leaping algorithm with cognitive behavior. IEEE Intel Contl Autom, 2008, 16: 6197-6202
    • (2008) IEEE Intel Contl Autom , vol.16 , pp. 6197-6202
    • Zhang, X.C.1    Hu, X.M.2    Cui, G.Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.