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Volumn 29, Issue , 2014, Pages 54-69

A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions

Author keywords

Hybrid MICA TLA; ICA; Non smooth cost functions; OPF problem; Voltage profile improvement

Indexed keywords


EID: 84894079901     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2013.11.003     Document Type: Article
Times cited : (138)

References (46)
  • 1
    • 0036778849 scopus 로고    scopus 로고
    • Optimal power flow using particle swarm optimization
    • M.A. Abido Optimal power flow using particle swarm optimization Electr. Power Energy Syst. 24 2002 563 571
    • (2002) Electr. Power Energy Syst. , vol.24 , pp. 563-571
    • Abido, M.A.1
  • 2
    • 0036573091 scopus 로고    scopus 로고
    • Optimal power flow using tabu search algorithm
    • M.A. Abido Optimal power flow using tabu search algorithm Electr. Power Components Syst. 30 5 2002 469 483
    • (2002) Electr. Power Components Syst. , vol.30 , Issue.5 , pp. 469-483
    • Abido, M.A.1
  • 3
    • 84856975051 scopus 로고    scopus 로고
    • Fuzzy multi-objective optimal power flow considering UPFC
    • J. Aghaei, A. Lashkar Ara, and M. Shabani Fuzzy multi-objective optimal power flow considering UPFC ICIC Int. 8 2 2012 1155 1166
    • (2012) ICIC Int. , vol.8 , Issue.2 , pp. 1155-1166
    • Aghaei, J.1    Lashkar Ara, A.2    Shabani, M.3
  • 4
    • 0016061310 scopus 로고
    • Optimal load flow with steady-state security
    • O. Alsac, and B. Stott Optimal load flow with steady-state security IEEE Trans. Power Appar. Syst. 93 3 1974 745 751
    • (1974) IEEE Trans. Power Appar. Syst. , vol.93 , Issue.3 , pp. 745-751
    • Alsac, O.1    Stott, B.2
  • 5
    • 78149290542 scopus 로고    scopus 로고
    • Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
    • E. Atashpaz-Gargari, and C. Lucas Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition Proc. IEEE Congress Evol. Comput. 2007 4661 4667
    • (2007) Proc. IEEE Congress Evol. Comput. , pp. 4661-4667
    • Atashpaz-Gargari, E.1    Lucas, C.2
  • 8
    • 78649320696 scopus 로고    scopus 로고
    • Multi-objective optimal power flow with FACTS devices
    • M. Basu Multi-objective optimal power flow with FACTS devices Energy Convers. Manage. 52 2011 903 910
    • (2011) Energy Convers. Manage. , vol.52 , pp. 903-910
    • Basu, M.1
  • 10
    • 27944440087 scopus 로고    scopus 로고
    • Genetic algorithm based optimal power flow for security enhancement
    • D. Deveraj, and B. Yegnanarayana Genetic algorithm based optimal power flow for security enhancement IEE Proc. Gener. Transm. Distrib. 152 6 2005 899 905
    • (2005) IEE Proc. Gener. Transm. Distrib. , vol.152 , Issue.6 , pp. 899-905
    • Deveraj, D.1    Yegnanarayana, B.2
  • 13
    • 0024668812 scopus 로고
    • Hydrothermal optimal power flow based on combined linear and nonlinear programming methodology
    • H. Habiabollahzadeh, G.X. Luo, and A. Semlyen Hydrothermal optimal power flow based on combined linear and nonlinear programming methodology IEEE Trans. Power Appar. Syst. PWRS 4 2 1989 530 537
    • (1989) IEEE Trans. Power Appar. Syst. PWRS , vol.4 , Issue.2 , pp. 530-537
    • Habiabollahzadeh, H.1    Luo, G.X.2    Semlyen, A.3
  • 14
    • 79551476548 scopus 로고    scopus 로고
    • A multi-objective optimal power flow using particle swarm optimization
    • J. Hazra, and A.K. Sinha A multi-objective optimal power flow using particle swarm optimization Eur. Trans. Electr. Power 21 1 2010 1028 1045
    • (2010) Eur. Trans. Electr. Power , vol.21 , Issue.1 , pp. 1028-1045
    • Hazra, J.1    Sinha, A.K.2
  • 16
    • 0026151499 scopus 로고
    • A survey of the optimal power flow literature
    • M. Huneault, and F.D. Galina A survey of the optimal power flow literature IEEE Trans. Power Syst. 6 2 1991 762 770
    • (1991) IEEE Trans. Power Syst. , vol.6 , Issue.2 , pp. 762-770
    • Huneault, M.1    Galina, F.D.2
  • 17
    • 84868262339 scopus 로고    scopus 로고
    • Modified artificial bee colony algorithm based on fuzzy multi-objective technique for optimal power flow problem
    • A. Khorsandi, S.H. Hosseinian, and A. Ghazanfari Modified artificial bee colony algorithm based on fuzzy multi-objective technique for optimal power flow problem Electr. Power Energy Syst. 95 2013 206 213
    • (2013) Electr. Power Energy Syst. , vol.95 , pp. 206-213
    • Khorsandi, A.1    Hosseinian, S.H.2    Ghazanfari, A.3
  • 18
    • 0000935593 scopus 로고    scopus 로고
    • Improved genetic algorithms for optimal power flow under normal and contingent operation states
    • L.L. Lai, J.T. Ma, R. Yokoyama, and M. Zhao Improved genetic algorithms for optimal power flow under normal and contingent operation states Int. J. Electr. Power Energy Syst. 19 5 1997 287 292
    • (1997) Int. J. Electr. Power Energy Syst. , vol.19 , Issue.5 , pp. 287-292
    • Lai, L.L.1    Ma, J.T.2    Yokoyama, R.3    Zhao, M.4
  • 19
    • 77949659172 scopus 로고    scopus 로고
    • Application of an imperialist competitive algorithm to the design of a linear induction motor
    • C. Lucas, Z. Nasiri-Gheidari, and F. Tootoonchian Application of an imperialist competitive algorithm to the design of a linear induction motor Energy Convers. Manage. 51 7 2010 1407 1411
    • (2010) Energy Convers. Manage. , vol.51 , Issue.7 , pp. 1407-1411
    • Lucas, C.1    Nasiri-Gheidari, Z.2    Tootoonchian, F.3
  • 20
    • 77949568901 scopus 로고    scopus 로고
    • Optimal power flow for large-scale power system with shunt FACTS using efficient parallel GA
    • B. Madhad, K. Srairi, and T. Bouktir Optimal power flow for large-scale power system with shunt FACTS using efficient parallel GA Electr. Power Energy Syst. 32 2010 507 517
    • (2010) Electr. Power Energy Syst. , vol.32 , pp. 507-517
    • Madhad, B.1    Srairi, K.2    Bouktir, T.3
  • 21
    • 24944490963 scopus 로고    scopus 로고
    • An open source power system analysis toolbox
    • F. Milano An open source power system analysis toolbox IEEE Trans. Power Syst. 20 3 2005 1199 1206
    • (2005) IEEE Trans. Power Syst. , vol.20 , Issue.3 , pp. 1199-1206
    • Milano, F.1
  • 22
    • 0033079737 scopus 로고    scopus 로고
    • A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches
    • J.A. Momoh, R. Adapa, and M.E. El-Hawary A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches IEEE Trans. Power Syst. 14 1 1999 96 104
    • (1999) IEEE Trans. Power Syst. , vol.14 , Issue.1 , pp. 96-104
    • Momoh, J.A.1    Adapa, R.2    El-Hawary, M.E.3
  • 23
    • 0033079460 scopus 로고    scopus 로고
    • A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods
    • J.A. Momoh, M.E. El-Hawary, and R. Adapa A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods IEEE Trans. Power Syst. 14 1 1999 105 111
    • (1999) IEEE Trans. Power Syst. , vol.14 , Issue.1 , pp. 105-111
    • Momoh, J.A.1    El-Hawary, M.E.2    Adapa, R.3
  • 24
    • 84871719979 scopus 로고    scopus 로고
    • A novel approach to multi-objective optimal power flow by a new hybrid optimization algorithm considering generator constraints and multi-fuel type
    • M.R. Narimani, R. Azizipanah-Abarghooee, B. Zoghdar-Moghadam-Shahrekohne, and K. Gholami A novel approach to multi-objective optimal power flow by a new hybrid optimization algorithm considering generator constraints and multi-fuel type Energy 49 2013 119 136
    • (2013) Energy , vol.49 , pp. 119-136
    • Narimani, M.R.1    Azizipanah-Abarghooee, R.2    Zoghdar-Moghadam-Shahrekohne, B.3    Gholami, K.4
  • 25
    • 77957826663 scopus 로고    scopus 로고
    • Solving the integrated product mix-outsourcing problem using the imperialist competitive algorithm
    • S. Nazari-Shirkouhi, H. Eivazy, R. Ghodsi, K. Rezaie, and E. Atashpaz-Gargari Solving the integrated product mix-outsourcing problem using the imperialist competitive algorithm Expert Syst. Appl. 37 12 2010 7615 7626
    • (2010) Expert Syst. Appl. , vol.37 , Issue.12 , pp. 7615-7626
    • Nazari-Shirkouhi, S.1    Eivazy, H.2    Ghodsi, R.3    Rezaie, K.4    Atashpaz-Gargari, E.5
  • 26
    • 79151468703 scopus 로고    scopus 로고
    • An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering
    • T. Niknam, E. Taherian Fard, N. Pourjafarian, and A. Rousta An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering Eng. Appl. Artif. Intell. 24 2 2011 306 317
    • (2011) Eng. Appl. Artif. Intell. , vol.24 , Issue.2 , pp. 306-317
    • Niknam, T.1    Taherian Fard, E.2    Pourjafarian, N.3    Rousta, A.4
  • 27
    • 80053523642 scopus 로고    scopus 로고
    • Modified honey bee mating optimisation to solve dynamic optimal power flow considering generator constraints
    • T. Niknam, M.R. Narimani, J. Aghaei, and M. Nayeripour Modified honey bee mating optimisation to solve dynamic optimal power flow considering generator constraints IET Gener. Transm. Distrib. 5 10 2011 989 1002
    • (2011) IET Gener. Transm. Distrib. , vol.5 , Issue.10 , pp. 989-1002
    • Niknam, T.1    Narimani, M.R.2    Aghaei, J.3    Nayeripour, M.4
  • 28
    • 80655124471 scopus 로고    scopus 로고
    • A modified shuffle frog leaping algorithm for multi-objective optimal power flow
    • T. Niknam, M.R. Narimani, M. Jabbari, and A.R. Malekpour A modified shuffle frog leaping algorithm for multi-objective optimal power flow Energy 36 2011 6420 6432
    • (2011) Energy , vol.36 , pp. 6420-6432
    • Niknam, T.1    Narimani, M.R.2    Jabbari, M.3    Malekpour, A.R.4
  • 29
    • 84857377845 scopus 로고    scopus 로고
    • A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect
    • T. Niknam, M.R. Narimani, and R. Azizipanah-Abarghooee A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect Energy Convers. Manage. 58 2012 197 206
    • (2012) Energy Convers. Manage. , vol.58 , pp. 197-206
    • Niknam, T.1    Narimani, M.R.2    Azizipanah-Abarghooee, R.3
  • 30
    • 0036899380 scopus 로고    scopus 로고
    • Optimal power flow with FACTS devices by hybrid TS/SA approach
    • W. Ongsakul, and P. Bhasaputra Optimal power flow with FACTS devices by hybrid TS/SA approach Int. J. Electr. Power Energy Syst. 24 2002 851 857
    • (2002) Int. J. Electr. Power Energy Syst. , vol.24 , pp. 851-857
    • Ongsakul, W.1    Bhasaputra, P.2
  • 31
  • 32
    • 80055062464 scopus 로고    scopus 로고
    • Teaching-learning-based optimization: An optimization method for continuous non-linear large scale problem
    • R.V. Rao, V.J. Savsani, and D.P. Vakharia Teaching-learning-based optimization: an optimization method for continuous non-linear large scale problem Inf. Sci. 183 2012 1 15
    • (2012) Inf. Sci. , vol.183 , pp. 1-15
    • Rao, R.V.1    Savsani, V.J.2    Vakharia, D.P.3
  • 33
    • 84877948107 scopus 로고    scopus 로고
    • Artificial bee colony algorithm for solving multi-objective optimal power flow problem
    • M. Rezaei Adaryani, and A. Karami Artificial bee colony algorithm for solving multi-objective optimal power flow problem Electr. Power Energy Syst. 53 2013 219 230
    • (2013) Electr. Power Energy Syst. , vol.53 , pp. 219-230
    • Rezaei Adaryani, M.1    Karami, A.2
  • 34
  • 35
    • 77957838584 scopus 로고    scopus 로고
    • Biogeography based optimization for multiconstraint optimal power flow with emission and non-smooth cost function
    • P.K. Roy, S.P. Ghoshal, and S.S. Thakur Biogeography based optimization for multiconstraint optimal power flow with emission and non-smooth cost function Expert Syst. Appl. 37 2010 8221 8228
    • (2010) Expert Syst. Appl. , vol.37 , pp. 8221-8228
    • Roy, P.K.1    Ghoshal, S.P.2    Thakur, S.S.3
  • 37
    • 52949104741 scopus 로고    scopus 로고
    • Modified differential evolution algorithm for optimal power flow with non-smooth cost functions
    • S. Sayah, and K. Zehar Modified differential evolution algorithm for optimal power flow with non-smooth cost functions Energy Convers. Manage. 49 2008 3036 3042
    • (2008) Energy Convers. Manage. , vol.49 , pp. 3036-3042
    • Sayah, S.1    Zehar, K.2
  • 38
    • 50449085707 scopus 로고    scopus 로고
    • Economic power dispatch of power system with pollution control using multiobjective ant colony optimization
    • L. Slimani, and T. Bouktir Economic power dispatch of power system with pollution control using multiobjective ant colony optimization Int. J. Comput. Intell. Res. 3 2007 145 153
    • (2007) Int. J. Comput. Intell. Res. , vol.3 , pp. 145-153
    • Slimani, L.1    Bouktir, T.2
  • 39
    • 84875166625 scopus 로고    scopus 로고
    • Optimal power flow solution using improved harmony search method
    • N. Sinsuphan, U. Leeton, and T. Kulworawanichpong Optimal power flow solution using improved harmony search method Appl. Soft Comput. 13 2013 2364 2374
    • (2013) Appl. Soft Comput. , vol.13 , pp. 2364-2374
    • Sinsuphan, N.1    Leeton, U.2    Kulworawanichpong, T.3
  • 41
    • 33750301966 scopus 로고    scopus 로고
    • Evolutionary programming based optimal power flow and its validation for deregulated power system analysis
    • Y.R. Sood Evolutionary programming based optimal power flow and its validation for deregulated power system analysis Int. J. Electr. Power Energy Syst. 29 2007 65 75
    • (2007) Int. J. Electr. Power Energy Syst. , vol.29 , pp. 65-75
    • Sood, Y.R.1
  • 42
    • 79951957716 scopus 로고    scopus 로고
    • Evolving ant direction differential evolution for OPF with non-smooth cost functions
    • K. Vaisakh, and L.R. Srinivas Evolving ant direction differential evolution for OPF with non-smooth cost functions Eng. Appl. Artif. Intell. 24 2011 426 436
    • (2011) Eng. Appl. Artif. Intell. , vol.24 , pp. 426-436
    • Vaisakh, K.1    Srinivas, L.R.2
  • 43
    • 47149094048 scopus 로고    scopus 로고
    • Solving multi-objective optimal power flow using differential evolution
    • M. Varadarajan, and K.S. Swarup Solving multi-objective optimal power flow using differential evolution IET Gener. Transm. Distrib. 2 5 2008 720 730
    • (2008) IET Gener. Transm. Distrib. , vol.2 , Issue.5 , pp. 720-730
    • Varadarajan, M.1    Swarup, K.S.2
  • 44
    • 0032668281 scopus 로고    scopus 로고
    • Improving an interior point based OPF by dynamic adjustments of step sizes and tolerances
    • X. Yan, and V.H. Quantana Improving an interior point based OPF by dynamic adjustments of step sizes and tolerances IEEE Trans. Power Syst. 14 2 1999 709 717
    • (1999) IEEE Trans. Power Syst. , vol.14 , Issue.2 , pp. 709-717
    • Yan, X.1    Quantana, V.H.2
  • 45
    • 0033221733 scopus 로고    scopus 로고
    • Evolutionary programming based optimal power flow algorithm
    • J. Yuryevich, and K.P. Wong Evolutionary programming based optimal power flow algorithm IEEE Trans. Power Syst. 14 4 1999 1245 1250
    • (1999) IEEE Trans. Power Syst. , vol.14 , Issue.4 , pp. 1245-1250
    • Yuryevich, J.1    Wong, K.P.2


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