Estimation of induction motor parameters using shuffled frog-leaping algorithm

Electrical Engineering

Volumn 95, Issue 3, 2013, Pages 267-275

  Perez, I ^a   Gomez Gonzalez, M ^a   Jurado, F ^a  

^a UNIVERSITY OF JAÉN   (Spain)

Author keywords

Differential evolution; Genetic algorithms; Induction motor; Parameters estimation; Particle swarm optimization; Shuffled frog leaping algorithm

Indexed keywords

DIFFERENTIAL EVOLUTION; EQUIVALENT CIRCUIT PARAMETER; ERROR MINIMIZATION; INDUCTION MACHINES; INDUCTION MOTOR PARAMETERS; PARAMETER ESTIMATION PROBLEMS; PARAMETERS ESTIMATION; SHUFFLED FROG-LEAPING ALGORITHMS;

ENERGY MANAGEMENT SYSTEMS; GENETIC ALGORITHMS; INDUCTION MOTORS; PARTICLE SWARM OPTIMIZATION (PSO);

PARAMETER ESTIMATION;

EID: 84880921736     PISSN: 09487921     EISSN: 14320487     Source Type: Journal    
DOI: 10.1007/s00202-012-0261-7     Document Type: Article

References (26)

1. Krause PC, Wasynczuk O, Sudhoff SD (2002) Analysis of Electric Machinery and Drive Systems, 2nd edn. Wiley/IEEE Press, New York
2. Koubaa Y (2006) Application of least-squares techniques for induction motor parameters estimation. Math Comput Model Dyn Syst 12(4):363-375
3. Maragliano G, Marchesoni M (2008) Implementation of a mixed recursive least- squares and Kalman filter approach in parameters, flux, and speed estimation for vector-controlled induction motor drives. Electr Power Compon Syst 36(4):359-386
4. Haque AH (2008) Determination of NEMA design induction motor parameters from manufacturer data. IEEE Trans Energy Convers 23(4):997-1004
5. Benbouzid MEH (2003) The H-G diagram model for induction motors analysis: theoretical approach and applications. Electr Power Compon Syst 31(3):211-239
6. Pedra J, Corcoles F (2004) Estimation of induction motor double-cage model parameters from manufacturer data. IEEE Trans Energy Convers 19(2):310-317
7. Lindenmeyer D, Dommel HW, Moshref A, Kundur P (2001) An induction motor parameter estimation method. Electr Power Energy Syst 23:251-262
8. Alonge F, Dippolito F, Ferrante G, Raimondi FM (1998) Parameter identification of induction motor model using genetic algorithms. IEE Proc Control Theory Appl 145(6):587-593
9. Huang KS, Kent W, Wu QH, Turner DR (2001) Parameter identification for induction motors using genetic algorithm with improved mathematical model. Electr Power Compon Syst 29(3):247-258
10. Rahimpour E, Rashtchi V, Pesaran M (2007) Parameter identification of deep-bar induction motors using genetic algorithm. Electr Eng 89:547-552
11. Ursem RK, Vadstrup P (2003) Parameter identification of induction motors using differential evolution. In: 2003 Congress on evolutionary computation (CEC 03), vol 2, pp 790-796
12. Awadallah MA (2008) Parameter estimation of induction machines from nameplate data using particle swarm optimization and genetic algorithm techniques. Electr Power Compon Syst 36(8):801-814
13. Sakthivel VP, Bhuvaneswari R, Subramanian S (2010) Multi-objective parameter estimation of induction motor using particle swarm optimization. Eng Appl Artif Intell 23(3):302-312
14. Sakthivel VP, Bhuvaneswari R, Subramanian S (2010) Bacterial foraging technique based parameter estimation of induction motor from manufacturer data. Electr Power Compon Syst 38(6):657-674
15. Eusuff M, Lansey K, Pasha F (2006) Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization. Eng Optim 38(2):129-154
16. Lopez PR, Gonzalez MG, Reyes NR, Jurado F (2008) Optimization of biomass fuelled systems for distributed power generation using particle swarm optimization. Electr Power Syst Res 78(8):1448-1455
17. Gómez M, Jurado F, Díaz P, Ruiz-Reyes N (2010) Evaluation of a particle swarm optimization based method for optimal location of photovoltaic grid-connected systems. Electr Power Compon Syst 38(10):1123-1138
18. Gómez-González M, Jurado F (2011) A binary shuffled frog-leaping algorithm for the optimal placement and sizing of photovoltaics grid-connected systems. Int Rev Electr Eng 6(1):452-458
19. Ruiz-Rodriguez FJ, Gomez-Gonzalez M, Jurado F (2011) Binary particle swarm optimization for optimization of photovoltaic generators in radial distribution systems using probabilistic load flow. Electr Power Compon Syst 39(15):1667-1684
20. Gomez-Gonzalez M, López A, Jurado F (2012) Optimization of distributed generation systems using a new discrete PSO and OPF. Electr Power Syst Res 84(1):174-180
21. Niknam T, Narimani MR, Azizipanah R (2012) A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect. Energy Convers Manage 58:197-206
22. Niknam T, Narimani MR, Jabbari M, Malekpour AR (2011) A modified shuffle frog leaping algorithm for multi-objective optimal power flow. Energy 36(11):6420-6432
23. Malekpour R, Tabatabaei S, Niknam T (2011) Probabilistic approach to multi-objective volt/var control of distribution system considering hybrid fuel cell and wind energy sources using improved shuffled frog leaping algorithm. Renew Energy 39(1):228-240
24. Niknam T, Bahmani Firouzi B, Doagou Mojarrad H (2011) A new evolutionary algorithm for non-linear economic dispatch. Expert Syst Appl 38(10):13301-13309
25. Niknam T, Azad Farsani E, Nayeripour M, Bahmani Firouzi B (2011) A new tribe modified shuffled frog leaping algorithm for multi-objective distribution feeder reconfiguration considering distributed generator units. Eur Trans Electr Power 22(3):308-333
26. Niknam T, Azad Farsani E (2011) An efficient multi-objective modified shuffled frog leaping algorithm for distribution feeder reconfiguration problem. Eur Trans Electr Power 21(1):721-739