메뉴 건너뛰기




Volumn 51, Issue , 2013, Pages 134-144

Current state of neural networks applications in power system monitoring and control

Author keywords

FACTS; LFC; Monitoring and control; Neural network; PSS

Indexed keywords

CONTROLLERS; ELECTRIC FREQUENCY CONTROL; ELECTRIC POWER SYSTEM CONTROL; ELECTRIC POWER SYSTEM MEASUREMENT; FLEXIBLE AC TRANSMISSION SYSTEMS; MONITORING; NEURAL NETWORKS;

EID: 84875819294     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.03.007     Document Type: Article
Times cited : (70)

References (97)
  • 1
    • 4043101022 scopus 로고    scopus 로고
    • Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions
    • P. Kundur, J. Paserba, V. Ajjarapu, G. Andersson, A. Bose, and C. Canizares Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions IEEE Trans Power Syst 19 3 2004 1387 1401
    • (2004) IEEE Trans Power Syst , vol.19 , Issue.3 , pp. 1387-1401
    • Kundur, P.1    Paserba, J.2    Ajjarapu, V.3    Andersson, G.4    Bose, A.5    Canizares, C.6
  • 2
    • 0032154530 scopus 로고    scopus 로고
    • Real-time contingency evaluation and ranking technique
    • M. Moghavvemi, and O. Faruque Real-time contingency evaluation and ranking technique IEE Proc Gen Trans Distrib 145 5 1998 517 524
    • (1998) IEE Proc Gen Trans Distrib , vol.145 , Issue.5 , pp. 517-524
    • Moghavvemi, M.1    Faruque, O.2
  • 3
    • 0032689845 scopus 로고    scopus 로고
    • Power system security and voltage collapse: A line outage based indicator for prediction
    • M. Moghavvemi, and M.O. Faruque Power system security and voltage collapse: a line outage based indicator for prediction Int J Electr Power Energy Syst 21 6 1999 455 461
    • (1999) Int J Electr Power Energy Syst , vol.21 , Issue.6 , pp. 455-461
    • Moghavvemi, M.1    Faruque, M.O.2
  • 4
    • 4944220138 scopus 로고    scopus 로고
    • A study on mechanism of voltage collapse based on the theory of transversality of equilibrium points
    • Y. Liu, Z. Yan, Y. Ni, and F.F. Wu A study on mechanism of voltage collapse based on the theory of transversality of equilibrium points Electr Power Syst Res 70 2 2004 163 171
    • (2004) Electr Power Syst Res , vol.70 , Issue.2 , pp. 163-171
    • Liu, Y.1    Yan, Z.2    Ni, Y.3    Wu, F.F.4
  • 5
    • 36248986775 scopus 로고    scopus 로고
    • Technique for voltage stability assessment using newly developed line voltage stability index
    • L.D. Arya, S.C. Choube, and M. Shrivastava Technique for voltage stability assessment using newly developed line voltage stability index Energy Convers Manage 49 2 2008 267 275
    • (2008) Energy Convers Manage , vol.49 , Issue.2 , pp. 267-275
    • Arya, L.D.1    Choube, S.C.2    Shrivastava, M.3
  • 7
    • 0032205212 scopus 로고    scopus 로고
    • Technique for contingency monitoring and voltage collapse prediction
    • M. Moghavvemi, and F.M. Omar Technique for contingency monitoring and voltage collapse prediction IEE Proc Gener Transm Distrib 145 1998 634 640
    • (1998) IEE Proc Gener Transm Distrib , vol.145 , pp. 634-640
    • Moghavvemi, M.1    Omar, F.M.2
  • 8
    • 0026953350 scopus 로고
    • Voltage stability evaluation using modal analysis
    • B. Gao, G.K. Morison, and P. Kundur Voltage stability evaluation using modal analysis IEEE Trans Power Syst 7 4 1992 1529 1542
    • (1992) IEEE Trans Power Syst , vol.7 , Issue.4 , pp. 1529-1542
    • Gao, B.1    Morison, G.K.2    Kundur, P.3
  • 10
    • 33646033796 scopus 로고    scopus 로고
    • An improved method for assessing voltage stabilitybased on network decomposition
    • M. Pantos, G. Verbic, and F. Gubina An improved method for assessing voltage stabilitybased on network decomposition Int J Electr Power Energy Syst 28 5 2006 324 330
    • (2006) Int J Electr Power Energy Syst , vol.28 , Issue.5 , pp. 324-330
    • Pantos, M.1    Verbic, G.2    Gubina, F.3
  • 11
    • 4544252954 scopus 로고    scopus 로고
    • Wide area system monitoring and control - Terminology, phenomena, and solution implementation strategies
    • D. Karlsson, M. Hemmingsson, and S. Lindahl Wide area system monitoring and control - terminology, phenomena, and solution implementation strategies IEEE Power Energy Mag 2 5 2004 68 76
    • (2004) IEEE Power Energy Mag , vol.2 , Issue.5 , pp. 68-76
    • Karlsson, D.1    Hemmingsson, M.2    Lindahl, S.3
  • 14
    • 33646477738 scopus 로고    scopus 로고
    • Hybrid micro-GA based FLCs for TCSC and UPFC in a multi-machine environment
    • L. Khan, and K.L. Lo Hybrid micro-GA based FLCs for TCSC and UPFC in a multi-machine environment Electr Power Syst Res 76 9-10 2006 832 843
    • (2006) Electr Power Syst Res , vol.76 , Issue.910 , pp. 832-843
    • Khan, L.1    Lo, K.L.2
  • 15
    • 77953797282 scopus 로고    scopus 로고
    • Takagi-Sugeno fuzzy gains scheduled PI controller for enhancement of power system stability
    • L.H. Hassan, M. Moghavvemi, and H.A.F. Mohamed Takagi-Sugeno fuzzy gains scheduled PI controller for enhancement of power system stability Am J Appl Sci 7 1 2010 145 152
    • (2010) Am J Appl Sci , vol.7 , Issue.1 , pp. 145-152
    • Hassan, L.H.1    Moghavvemi, M.2    Mohamed, H.A.F.3
  • 17
    • 57449112769 scopus 로고    scopus 로고
    • Optimal locations and tuning of robust power system stabilizer using genetic algorithms
    • K. Sebaa, and M. Boudour Optimal locations and tuning of robust power system stabilizer using genetic algorithms Electr Power Syst Res 79 2 2009 406 416
    • (2009) Electr Power Syst Res , vol.79 , Issue.2 , pp. 406-416
    • Sebaa, K.1    Boudour, M.2
  • 25
    • 34249776914 scopus 로고    scopus 로고
    • Online design of an echo state network based wide area monitor for a multimachine power system
    • G.K. Venayagamoorthy Online design of an echo state network based wide area monitor for a multimachine power system Neural Networks 20 3 2007 404 413
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 404-413
    • Venayagamoorthy, G.K.1
  • 26
    • 0036604624 scopus 로고    scopus 로고
    • The application of ANN technique to automatic generation control for multi-area power system
    • H.L. Zeynelgil, A. Demiroren, and N.S. Sengor The application of ANN technique to automatic generation control for multi-area power system Int J Electr Power Energy Syst 24 5 2002 345 354
    • (2002) Int J Electr Power Energy Syst , vol.24 , Issue.5 , pp. 345-354
    • Zeynelgil, H.L.1    Demiroren, A.2    Sengor, N.S.3
  • 27
    • 18844463741 scopus 로고    scopus 로고
    • Automatic generation control for power system with SMES by using neural network controller
    • Demirören Automatic generation control for power system with SMES by using neural network controller Electr Power Compon Syst 31 1 2003 1 25
    • (2003) Electr Power Compon Syst , vol.31 , Issue.1 , pp. 1-25
    • Demirören1
  • 29
    • 7444235495 scopus 로고    scopus 로고
    • A dynamic wavelet network based adaptive load frequency control in power systems
    • Y. Oysal, A.S. Yilmaz, and E. Koklukaya A dynamic wavelet network based adaptive load frequency control in power systems Int J Electr Power Energy Syst 27 1 2005 21 29
    • (2005) Int J Electr Power Energy Syst , vol.27 , Issue.1 , pp. 21-29
    • Oysal, Y.1    Yilmaz, A.S.2    Koklukaya, E.3
  • 30
    • 17744366369 scopus 로고    scopus 로고
    • A comparative study of adaptive load frequency controller designs in a power system with dynamic neural network models
    • Y. Oysal A comparative study of adaptive load frequency controller designs in a power system with dynamic neural network models Energy Convers Manage 46 15-16 2005 2656 2668
    • (2005) Energy Convers Manage , vol.46 , Issue.1516 , pp. 2656-2668
    • Oysal, Y.1
  • 31
    • 15744377839 scopus 로고    scopus 로고
    • Wavelet neural network load frequency controller
    • A.M. Hemeida Wavelet neural network load frequency controller Energy Convers Manage 46 9-10 2005 1613 1630
    • (2005) Energy Convers Manage , vol.46 , Issue.910 , pp. 1613-1630
    • Hemeida, A.M.1
  • 32
    • 33745808853 scopus 로고    scopus 로고
    • Application of ANN technique based on μ-synthesis to load frequency control of interconnected power system
    • H. Shayeghi, and H.A. Shayanfar Application of ANN technique based on μ-synthesis to load frequency control of interconnected power system Int J Electr Power Energy Syst 28 7 2006 503 511
    • (2006) Int J Electr Power Energy Syst , vol.28 , Issue.7 , pp. 503-511
    • Shayeghi, H.1    Shayanfar, H.A.2
  • 33
    • 33750612754 scopus 로고    scopus 로고
    • Robust decentralized neural networks based LFC in a deregulated power system
    • H. Shayeghi, H.A. Shayanfar, and O.P. Malik Robust decentralized neural networks based LFC in a deregulated power system Electr Power Syst Res 77 3-4 2007 241 251
    • (2007) Electr Power Syst Res , vol.77 , Issue.34 , pp. 241-251
    • Shayeghi, H.1    Shayanfar, H.A.2    Malik, O.P.3
  • 34
    • 79952444482 scopus 로고    scopus 로고
    • Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller
    • L.C. Saikia, S. Mishra, N. Sinha, and J. Nanda Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller Int J Electr Power Energy Syst 33 4 2011 1101 1108
    • (2011) Int J Electr Power Energy Syst , vol.33 , Issue.4 , pp. 1101-1108
    • Saikia, L.C.1    Mishra, S.2    Sinha, N.3    Nanda, J.4
  • 35
    • 0037189734 scopus 로고    scopus 로고
    • AGC for autonomous power system using combined intelligent techniques
    • Y.L. Karnavas, and D.P. Papadopoulos AGC for autonomous power system using combined intelligent techniques Electr Power Syst Res 62 3 2002 225 239
    • (2002) Electr Power Syst Res , vol.62 , Issue.3 , pp. 225-239
    • Karnavas, Y.L.1    Papadopoulos, D.P.2
  • 36
    • 41949103490 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system based automatic generation control
    • S.H. Hosseini, and A.H. Etemadi Adaptive neuro-fuzzy inference system based automatic generation control Electr Power Syst Res 78 7 2008 1230 1239
    • (2008) Electr Power Syst Res , vol.78 , Issue.7 , pp. 1230-1239
    • Hosseini, S.H.1    Etemadi, A.H.2
  • 37
    • 61449155324 scopus 로고    scopus 로고
    • Recurrent fuzzy neural network by using feedback error learning approaches for LFC in interconnected power system
    • K. Sabahi, M. Teshnehlab, and M.A. Shoorhedeli Recurrent fuzzy neural network by using feedback error learning approaches for LFC in interconnected power system Energy Convers Manage 50 4 2009 938 946
    • (2009) Energy Convers Manage , vol.50 , Issue.4 , pp. 938-946
    • Sabahi, K.1    Teshnehlab, M.2    Shoorhedeli, M.A.3
  • 38
    • 81155139762 scopus 로고    scopus 로고
    • Simulation study for automatic generation control of a multi-area power system by ANFIS approach
    • S.R. Khuntia, and S. Panda Simulation study for automatic generation control of a multi-area power system by ANFIS approach Appl Soft Comput 12 1 2012 333 341
    • (2012) Appl Soft Comput , vol.12 , Issue.1 , pp. 333-341
    • Khuntia, S.R.1    Panda, S.2
  • 40
    • 84862001342 scopus 로고    scopus 로고
    • Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi-Sugeno fuzzy logic
    • L.H. Hassan, M. Moghavvemi, H.A.F. Almurib, K.M. Muttaqi, and H. Du Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi-Sugeno fuzzy logic Int J Electr Power Energy Syst 38 1 2012 72 83
    • (2012) Int J Electr Power Energy Syst , vol.38 , Issue.1 , pp. 72-83
    • Hassan, L.H.1    Moghavvemi, M.2    Almurib, H.A.F.3    Muttaqi, K.M.4    Du, H.5
  • 42
    • 0033627228 scopus 로고    scopus 로고
    • Design of a neural adaptive power system stabilizer using dynamic back-propagation method
    • P. Shamsollahi, and O.P. Malik Design of a neural adaptive power system stabilizer using dynamic back-propagation method Int J Electr Power Energy Syst 22 1 2000 29 34
    • (2000) Int J Electr Power Energy Syst , vol.22 , Issue.1 , pp. 29-34
    • Shamsollahi, P.1    Malik, O.P.2
  • 43
    • 0038930868 scopus 로고    scopus 로고
    • Adaptive tuning of power system stabilizers using radial basis function networks
    • M.A. Abido, and Y.L. Abdel-Magid Adaptive tuning of power system stabilizers using radial basis function networks Electr Power Syst Res 49 1 1999 21 29
    • (1999) Electr Power Syst Res , vol.49 , Issue.1 , pp. 21-29
    • Abido, M.A.1    Abdel-Magid, Y.L.2
  • 44
    • 1642387868 scopus 로고    scopus 로고
    • A self-tuning power system stabilizer based on artificial neural network
    • R. Segal, A. Sharma, and M.L. Kothari A self-tuning power system stabilizer based on artificial neural network Int J Electr Power Energy Syst 26 6 2004 423 430
    • (2004) Int J Electr Power Energy Syst , vol.26 , Issue.6 , pp. 423-430
    • Segal, R.1    Sharma, A.2    Kothari, M.L.3
  • 45
    • 0242456856 scopus 로고    scopus 로고
    • Recurrent neural network supplementary stabilization controller for automatic voltage regulator and governor
    • T. Senjyu, and H. Fujita Recurrent neural network supplementary stabilization controller for automatic voltage regulator and governor Electr Power Compon Syst 31 7 2003 693 707
    • (2003) Electr Power Compon Syst , vol.31 , Issue.7 , pp. 693-707
    • Senjyu, T.1    Fujita, H.2
  • 46
    • 26844552898 scopus 로고    scopus 로고
    • Generalized neuron-based PSS and adaptive PSS
    • D.K. Chaturvedi, and O.P. Malik Generalized neuron-based PSS and adaptive PSS Control Eng Pract 13 12 2005 1507 1514
    • (2005) Control Eng Pract , vol.13 , Issue.12 , pp. 1507-1514
    • Chaturvedi, D.K.1    Malik, O.P.2
  • 48
    • 33846109173 scopus 로고    scopus 로고
    • Studies of the improvement of probabilistic PSSs by using the single neuron model
    • H. Ping, W. Kewen, T. Chitong, and B. Xiaoyan Studies of the improvement of probabilistic PSSs by using the single neuron model Int J Electr Power Energy Syst 29 3 2007 217 221
    • (2007) Int J Electr Power Energy Syst , vol.29 , Issue.3 , pp. 217-221
    • Ping, H.1    Kewen, W.2    Chitong, T.3    Xiaoyan, B.4
  • 49
    • 61349108050 scopus 로고    scopus 로고
    • A wide area measurement based neurocontrol for generation excitation systems
    • S. Ray, and G.K. Venayagamoorthy A wide area measurement based neurocontrol for generation excitation systems Eng Appl Artif Intell 22 3 2009 473 481
    • (2009) Eng Appl Artif Intell , vol.22 , Issue.3 , pp. 473-481
    • Ray, S.1    Venayagamoorthy, G.K.2
  • 50
    • 78649335454 scopus 로고    scopus 로고
    • A neural network based adaptive sliding mode controller: Application to a power system stabilizer
    • H.N. Al-Duwaish, and Z.M. Al-Hamouz A neural network based adaptive sliding mode controller: application to a power system stabilizer Energy Convers Manage 52 2 2011 1533 1538
    • (2011) Energy Convers Manage , vol.52 , Issue.2 , pp. 1533-1538
    • Al-Duwaish, H.N.1    Al-Hamouz, Z.M.2
  • 51
    • 84857377252 scopus 로고    scopus 로고
    • Coordinated tuning of power system stabilizers based on Fourier transform and neural networks
    • V.S. Perić, A.T. Sarić, and D.I. Grabež Coordinated tuning of power system stabilizers based on Fourier transform and neural networks Electr Power Syst Res 88 2012 78 88
    • (2012) Electr Power Syst Res , vol.88 , pp. 78-88
    • Perić, V.S.1    Sarić, A.T.2    Grabež, D.I.3
  • 52
    • 0033079753 scopus 로고    scopus 로고
    • A fuzzy basis function network based power system stabilizer for generator excitation control
    • M.A. Abido, and Y.L. Abdel-Magid A fuzzy basis function network based power system stabilizer for generator excitation control Electr Power Syst Res 49 1 1999 11 19
    • (1999) Electr Power Syst Res , vol.49 , Issue.1 , pp. 11-19
    • Abido, M.A.1    Abdel-Magid, Y.L.2
  • 53
    • 0033873009 scopus 로고    scopus 로고
    • Training of neurofuzzy power system stabilisers using genetic algorithms
    • A. Afzalian, and D.A. Linkens Training of neurofuzzy power system stabilisers using genetic algorithms Int J Electr Power Energy Syst 22 2 2000 93 102
    • (2000) Int J Electr Power Energy Syst , vol.22 , Issue.2 , pp. 93-102
    • Afzalian, A.1    Linkens, D.A.2
  • 54
    • 3042550627 scopus 로고    scopus 로고
    • Amalgamation of adaptive control and AI techniques: Applications to generator excitation control
    • O.P. Malik Amalgamation of adaptive control and AI techniques: applications to generator excitation control Annu Rev Control 28 1 2004 97 106
    • (2004) Annu Rev Control , vol.28 , Issue.1 , pp. 97-106
    • Malik, O.P.1
  • 55
    • 38649095912 scopus 로고    scopus 로고
    • Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN
    • M. Caner, N. Umurkan, S. Tokat, and S.V. Üstün Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN Exper Syst Appl 34 4 2008 2650 2655
    • (2008) Exper Syst Appl , vol.34 , Issue.4 , pp. 2650-2655
    • Caner, M.1    Umurkan, N.2    Tokat, S.3    Üstün, S.V.4
  • 56
    • 0032231819 scopus 로고    scopus 로고
    • A practical neural network approach for power generation automation. Energy Management and Power Delivery
    • 3-5 March
    • Moghavvemi M, Yang SS, Kashem MA. A practical neural network approach for power generation automation. Energy Management and Power Delivery. In: Proceedings of EMPD '98. International Conference on, vol. 1. 3-5 March 1998, p. 305-10.
    • (1998) Proceedings of EMPD '98. International Conference on , vol.1 , pp. 305-310
    • Moghavvemi, M.1    Yang, S.S.2    Kashem, M.A.3
  • 57
    • 0033880378 scopus 로고    scopus 로고
    • Artificial neural network based contingency ranking method for voltage collapse
    • H.B. Wan, and A.O. Ekwue Artificial neural network based contingency ranking method for voltage collapse Int J Electr Power Energy Syst 22 5 2000 349 354
    • (2000) Int J Electr Power Energy Syst , vol.22 , Issue.5 , pp. 349-354
    • Wan, H.B.1    Ekwue, A.O.2
  • 58
    • 26844508575 scopus 로고    scopus 로고
    • ANN application techniques for power system stability estimation
    • M. Moghavvemi, and S.S. Yang ANN application techniques for power system stability estimation Electric Mach Power Syst 28 2000 167 178
    • (2000) Electric Mach Power Syst , vol.28 , pp. 167-178
    • Moghavvemi, M.1    Yang, S.S.2
  • 60
    • 0035371882 scopus 로고    scopus 로고
    • Contingency ranking for voltage collapse using parallel self-organizing hierarchical neural network
    • M. Pandit, L. Srivastava, and J. Sharma Contingency ranking for voltage collapse using parallel self-organizing hierarchical neural network Int J Electr Power Energy Syst 23 5 2001 369 379
    • (2001) Int J Electr Power Energy Syst , vol.23 , Issue.5 , pp. 369-379
    • Pandit, M.1    Srivastava, L.2    Sharma, J.3
  • 61
    • 0035341672 scopus 로고    scopus 로고
    • Intelligent coordinative voltage and reactive power control
    • A.F. Gubina, F. Gubina, and R. Golob Intelligent coordinative voltage and reactive power control Int J Electr Power Energy Syst 23 4 2001 313 321
    • (2001) Int J Electr Power Energy Syst , vol.23 , Issue.4 , pp. 313-321
    • Gubina, A.F.1    Gubina, F.2    Golob, R.3
  • 62
    • 0038183992 scopus 로고    scopus 로고
    • Sensitivity based voltage instability alleviation using ANN
    • S. Chauhan, and M.P. Dave Sensitivity based voltage instability alleviation using ANN Int J Electr Power Energy Syst 25 8 2003 651 657
    • (2003) Int J Electr Power Energy Syst , vol.25 , Issue.8 , pp. 651-657
    • Chauhan, S.1    Dave, M.P.2
  • 63
    • 33745194150 scopus 로고    scopus 로고
    • A feed-forward artificial neural network with enhanced feature selection for power system transient stability assessment
    • H. Sawhney, and B. Jeyasurya A feed-forward artificial neural network with enhanced feature selection for power system transient stability assessment Electr Power Syst Res 76 12 2006 1047 1054
    • (2006) Electr Power Syst Res , vol.76 , Issue.12 , pp. 1047-1054
    • Sawhney, H.1    Jeyasurya, B.2
  • 64
    • 34047275138 scopus 로고    scopus 로고
    • Artificial neural network model for voltage security based contingency ranking
    • D. Devaraj, J.P. Roselyn, and R.U. Rani Artificial neural network model for voltage security based contingency ranking Appl Soft Comput 7 3 2007 722 727
    • (2007) Appl Soft Comput , vol.7 , Issue.3 , pp. 722-727
    • Devaraj, D.1    Roselyn, J.P.2    Rani, R.U.3
  • 65
    • 34548157517 scopus 로고    scopus 로고
    • Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities
    • A. Del Angel, P. Geurts, D. Ernst, M. Glavic, and L. Wehenkel Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities Neurocomputing 70 16-18 2007 2668 2678
    • (2007) Neurocomputing , vol.70 , Issue.1618 , pp. 2668-2678
    • Del Angel, A.1    Geurts, P.2    Ernst, D.3    Glavic, M.4    Wehenkel, L.5
  • 66
    • 33947107411 scopus 로고    scopus 로고
    • An enhanced radial basis function network for voltage stability monitoring considering multiple contingencies
    • S. Chakrabarti, and B. Jeyasurya An enhanced radial basis function network for voltage stability monitoring considering multiple contingencies Electr Power Syst Res 77 7 2007 780 787
    • (2007) Electr Power Syst Res , vol.77 , Issue.7 , pp. 780-787
    • Chakrabarti, S.1    Jeyasurya, B.2
  • 67
    • 37249063235 scopus 로고    scopus 로고
    • Multicontingency voltage stability monitoring of a power system using an adaptive radial basis function network
    • S. Chakrabarti, and B. Jeyasurya Multicontingency voltage stability monitoring of a power system using an adaptive radial basis function network Int J Electr Power Energy Syst 30 1 2008 1 7
    • (2008) Int J Electr Power Energy Syst , vol.30 , Issue.1 , pp. 1-7
    • Chakrabarti, S.1    Jeyasurya, B.2
  • 68
    • 35848944110 scopus 로고    scopus 로고
    • Dynamic voltage stability assessment of power transmission systems using neural networks
    • M.-T. Vakil-Baghmisheh, and H. Razmi Dynamic voltage stability assessment of power transmission systems using neural networks Energy Convers Manage 49 1 2008 1 7
    • (2008) Energy Convers Manage , vol.49 , Issue.1 , pp. 1-7
    • Vakil-Baghmisheh, M.-T.1    Razmi, H.2
  • 69
    • 34548473325 scopus 로고    scopus 로고
    • Prediction of transmission line overloading using intelligent technique
    • S. Sharma, and L. Srivastava Prediction of transmission line overloading using intelligent technique Appl Soft Comput 8 1 2008 626 633
    • (2008) Appl Soft Comput , vol.8 , Issue.1 , pp. 626-633
    • Sharma, S.1    Srivastava, L.2
  • 70
    • 59649111847 scopus 로고    scopus 로고
    • A new intelligent algorithm for online voltage stability assessment and monitoring
    • S. Kamalasadan, D. Thukaram, and A.K. Srivastava A new intelligent algorithm for online voltage stability assessment and monitoring Int J Electr Power Energy Syst 31 2-3 2009 100 110
    • (2009) Int J Electr Power Energy Syst , vol.31 , Issue.23 , pp. 100-110
    • Kamalasadan, S.1    Thukaram, D.2    Srivastava, A.K.3
  • 71
    • 73249152434 scopus 로고    scopus 로고
    • Dynamic voltage collapse prediction in power systems using support vector regression
    • M. Nizam, A. Mohamed, and A. Hussain Dynamic voltage collapse prediction in power systems using support vector regression Exper Syst Appl 37 5 2010 3730 3736
    • (2010) Exper Syst Appl , vol.37 , Issue.5 , pp. 3730-3736
    • Nizam, M.1    Mohamed, A.2    Hussain, A.3
  • 72
    • 70449729755 scopus 로고    scopus 로고
    • Efficient ANN method for post-contingency status evaluation
    • R.K. Misra, and S.P. Singh Efficient ANN method for post-contingency status evaluation Int J Electr Power Energy Syst 32 1 2010 54 62
    • (2010) Int J Electr Power Energy Syst , vol.32 , Issue.1 , pp. 54-62
    • Misra, R.K.1    Singh, S.P.2
  • 73
    • 84868658856 scopus 로고    scopus 로고
    • A fast static security assessment method based on radial basis function neural networks using enhanced clustering
    • D. Seyed Javan, H. Rajabi Mashhadi, and M. Rouhani A fast static security assessment method based on radial basis function neural networks using enhanced clustering Int J Electr Power Energy Syst 44 1 2013 988 996
    • (2013) Int J Electr Power Energy Syst , vol.44 , Issue.1 , pp. 988-996
    • Seyed Javan, D.1    Rajabi Mashhadi, H.2    Rouhani, M.3
  • 74
    • 0033098762 scopus 로고    scopus 로고
    • Neuro-fuzzy approach to real-time transient stability prediction based on synchronized phasor measurements
    • C.-W. Liu, S.-S. Tsay, Y.-J. Wang, and M.-C. Su Neuro-fuzzy approach to real-time transient stability prediction based on synchronized phasor measurements Electr Power Syst Res 49 2 1999 123 127
    • (1999) Electr Power Syst Res , vol.49 , Issue.2 , pp. 123-127
    • Liu, C.-W.1    Tsay, S.-S.2    Wang, Y.-J.3    Su, M.-C.4
  • 75
    • 33947114806 scopus 로고    scopus 로고
    • Sensitivity analysis by neural networks applied to power systems transient stability
    • A.D.P. Lotufo, M.L.M. Lopes, and C.R. Minussi Sensitivity analysis by neural networks applied to power systems transient stability Electr Power Syst Res 77 7 2007 730 738
    • (2007) Electr Power Syst Res , vol.77 , Issue.7 , pp. 730-738
    • Lotufo, A.D.P.1    Lopes, M.L.M.2    Minussi, C.R.3
  • 76
    • 77249136268 scopus 로고    scopus 로고
    • A computational intelligence-based suite for vulnerability assessment of electrical power systems
    • A.M.A. Haidar, A. Mohamed, and F. Milano A computational intelligence-based suite for vulnerability assessment of electrical power systems Simul Modell Pract Theory 18 5 2010 533 546
    • (2010) Simul Modell Pract Theory , vol.18 , Issue.5 , pp. 533-546
    • Haidar, A.M.A.1    Mohamed, A.2    Milano, F.3
  • 77
    • 70350702673 scopus 로고    scopus 로고
    • Hybrid fuzzy-neural network-based composite contingency ranking employing fuzzy curves for feature selection
    • K.T. Chaturvedi, M. Pandit, L. Srivastava, J. Sharma, and R.P. Bhatele Hybrid fuzzy-neural network-based composite contingency ranking employing fuzzy curves for feature selection Neurocomputing 73 1-3 2009 506 516
    • (2009) Neurocomputing , vol.73 , Issue.13 , pp. 506-516
    • Chaturvedi, K.T.1    Pandit, M.2    Srivastava, L.3    Sharma, J.4    Bhatele, R.P.5
  • 78
    • 71349087093 scopus 로고    scopus 로고
    • Vulnerability control of large scale interconnected power system using neuro-fuzzy load shedding approach
    • A.M.A. Haidar, A. Mohamed, and A. Hussain Vulnerability control of large scale interconnected power system using neuro-fuzzy load shedding approach Exp Syst Appl 37 4 2010 3171 3176
    • (2010) Exp Syst Appl , vol.37 , Issue.4 , pp. 3171-3176
    • Haidar, A.M.A.1    Mohamed, A.2    Hussain, A.3
  • 79
    • 77950187963 scopus 로고    scopus 로고
    • Artificial intelligence application to Malaysian electrical power system
    • A.M.A. Haidar, A. Mohamed, A. Hussain, and N. Jaalam Artificial intelligence application to Malaysian electrical power system Exp Syst Appl 37 7 2010 5023 5031
    • (2010) Exp Syst Appl , vol.37 , Issue.7 , pp. 5023-5031
    • Haidar, A.M.A.1    Mohamed, A.2    Hussain, A.3    Jaalam, N.4
  • 80
    • 79952006398 scopus 로고    scopus 로고
    • Study of a new method for power system transients classification based on wavelet entropy and neural network
    • H. Zhengyou, G. Shibin, C. Xiaoqin, Z. Jun, B. Zhiqian, and Q. Qingquan Study of a new method for power system transients classification based on wavelet entropy and neural network Int J Electr Power Energy Syst 33 3 2011 402 410
    • (2011) Int J Electr Power Energy Syst , vol.33 , Issue.3 , pp. 402-410
    • Zhengyou, H.1    Shibin, G.2    Xiaoqin, C.3    Jun, Z.4    Zhiqian, B.5    Qingquan, Q.6
  • 81
    • 84862236109 scopus 로고    scopus 로고
    • Voltage stability assessment in power network using self organizing feature map and radial basis function
    • K. Chakraborty, A. De, and A. Chakrabarti Voltage stability assessment in power network using self organizing feature map and radial basis function Comput Electr Eng 38 4 2012 819 826
    • (2012) Comput Electr Eng , vol.38 , Issue.4 , pp. 819-826
    • Chakraborty, K.1    De, A.2    Chakrabarti, A.3
  • 83
    • 79951915935 scopus 로고    scopus 로고
    • Impact of UPFC-based damping controller on dynamic stability of Iraqi power network
    • L.H. Hassan, M. Moghavvemi, and H.A.F. Mohamed Impact of UPFC-based damping controller on dynamic stability of Iraqi power network Sci Res Essays 6 1 2011 136 145
    • (2011) Sci Res Essays , vol.6 , Issue.1 , pp. 136-145
    • Hassan, L.H.1    Moghavvemi, M.2    Mohamed, H.A.F.3
  • 85
    • 84865624440 scopus 로고    scopus 로고
    • Modeling UPFC into multi-machine power systems
    • L. Hassan, M. Moghavvemi, and H.F. Almurib Modeling UPFC into multi-machine power systems Arab J Sci Eng 37 6 2012 1613 1624
    • (2012) Arab J Sci Eng , vol.37 , Issue.6 , pp. 1613-1624
    • Hassan, L.1    Moghavvemi, M.2    Almurib, H.F.3
  • 86
    • 84869211917 scopus 로고    scopus 로고
    • Application of genetic algorithm in optimization of unified power flow controller parameters and its location in the power system network
    • L.H. Hassan, M. Moghavvemi, H.A.F. Almurib, and O. Steinmayer Application of genetic algorithm in optimization of unified power flow controller parameters and its location in the power system network Int J Electr Power Energy Syst 46 0 2013 89 97
    • (2013) Int J Electr Power Energy Syst , vol.46 , pp. 89-97
    • Hassan, L.H.1    Moghavvemi, M.2    Almurib, H.A.F.3    Steinmayer, O.4
  • 89
    • 0033688899 scopus 로고    scopus 로고
    • Tuning of SVC damping controllers over a wide range of load models using an artificial neural network
    • S.M. Al-Alawi, and K.A. Ellithy Tuning of SVC damping controllers over a wide range of load models using an artificial neural network Int J Electr Power Energy Syst 22 6 2000 405 420
    • (2000) Int J Electr Power Energy Syst , vol.22 , Issue.6 , pp. 405-420
    • Al-Alawi, S.M.1    Ellithy, K.A.2
  • 90
    • 0034429546 scopus 로고    scopus 로고
    • A radial basis function neural network controller for UPFC
    • P.K. Dash, S. Mishra, and G. Panda A radial basis function neural network controller for UPFC IEEE Trans Power Syst 15 4 2000 1293 1299
    • (2000) IEEE Trans Power Syst , vol.15 , Issue.4 , pp. 1293-1299
    • Dash, P.K.1    Mishra, S.2    Panda, G.3
  • 91
    • 47149117391 scopus 로고    scopus 로고
    • Wide-area signal-based optimal neurocontroller for a UPFC
    • S. Ray, and G.K. Venayagamoorthy Wide-area signal-based optimal neurocontroller for a UPFC IEEE Trans Power Deliv 23 3 2008 1597 1605
    • (2008) IEEE Trans Power Deliv , vol.23 , Issue.3 , pp. 1597-1605
    • Ray, S.1    Venayagamoorthy, G.K.2
  • 93
    • 79952778120 scopus 로고    scopus 로고
    • Interline power flow controller (IPFC) based damping recurrent neural network controllers for enhancing stability
    • M.R. Banaei, and A. Kami Interline power flow controller (IPFC) based damping recurrent neural network controllers for enhancing stability Energy Convers Manage 52 7 2011 2629 2636
    • (2011) Energy Convers Manage , vol.52 , Issue.7 , pp. 2629-2636
    • Banaei, M.R.1    Kami, A.2
  • 94
    • 80053576361 scopus 로고    scopus 로고
    • Neural network predictive control of UPFC for improving transient stability performance of power system
    • S. Tiwari, R. Naresh, and R. Jha Neural network predictive control of UPFC for improving transient stability performance of power system Appl Soft Comput 11 8 2011 4581 4590
    • (2011) Appl Soft Comput , vol.11 , Issue.8 , pp. 4581-4590
    • Tiwari, S.1    Naresh, R.2    Jha, R.3
  • 95
    • 0037189713 scopus 로고    scopus 로고
    • Intelligent optimal sieving method for FACTS device control in multi-machine systems
    • Q. Lu, W. Wang, C. Shen, S. Mei, M. Goto, and A. Yokoyama Intelligent optimal sieving method for FACTS device control in multi-machine systems Electr Power Syst Res 62 3 2002 209 214
    • (2002) Electr Power Syst Res , vol.62 , Issue.3 , pp. 209-214
    • Lu, Q.1    Wang, W.2    Shen, C.3    Mei, S.4    Goto, M.5    Yokoyama, A.6
  • 96
    • 0037408959 scopus 로고    scopus 로고
    • Improvement of multi-machine power system stability with variable series capacitor using on-line learning neural network
    • T. Senjyu, S. Yamane, Y. Morishima, K. Uezato, and H. Fujita Improvement of multi-machine power system stability with variable series capacitor using on-line learning neural network Int J Electr Power Energy Syst 25 5 2003 403 409
    • (2003) Int J Electr Power Energy Syst , vol.25 , Issue.5 , pp. 403-409
    • Senjyu, T.1    Yamane, S.2    Morishima, Y.3    Uezato, K.4    Fujita, H.5
  • 97
    • 33644879423 scopus 로고    scopus 로고
    • Neural-network-based adaptive UPFC for improving transient stability performance of power system
    • S. Mishra Neural-network-based adaptive UPFC for improving transient stability performance of power system IEEE Trans Neural Networks 17 2 2006 461 470
    • (2006) IEEE Trans Neural Networks , vol.17 , Issue.2 , pp. 461-470
    • Mishra, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.