Initialisation of the augmented Hopfield network for improved generator scheduling

IEE Proceedings: Generation, Transmission and Distribution

Volumn 149, Issue 5, 2002, Pages 593-599

  Dillon, J D ^a   Walsh, M P ^a   O'Malley, M J ^a  

^a Electricity Supply Board Ireland   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ELECTRIC POWER TRANSMISSION; LAGRANGE MULTIPLIERS; NEURAL NETWORKS;

AUGMENTED HOPFIELD NETWORKS;

ELECTRIC GENERATORS;

EID: 0036755874     PISSN: 13502360     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-gtd:20020460     Document Type: Conference Paper

References (21)

1. Sheble, G.B., and Fahd, G.N.: 'Unit Commitment Literature synopsis', IEEE Trans. Power Syst., 1994, 9, pp. 128-135.
2. Wood, A.J., and Wollenberg, B.F.: 'Power Generation Operation and Control', 2nd Edn. (Wiley, 1996).
3. Baldick, R.: 'The Generalised Unit Commitment Problem', IEEE Trans. Power Syst., 1995, 10, pp. 465-475.
4. Walsh, M.P., and O'Malley, M.J.: 'Augmented Hopfield Network for Unit Commitment and Economic Dispatch', IEEE Trans. Power Syst., 1997, 11, pp. 1765-1775.
5. Walsh, M.P., and O'Malley, M.J.: 'Augmented Hopfield network for constrained generator scheduling', IEEE Trans. Power Syst., 1999, 14, pp. 519-524.
6. Guan, X., Luh, P.B., Yan, H., and Amflai, J.A.: 'An Optimisation-Based Method for Unit Commitment', Electr. Power Energy Syst., 1992, 14, pp. 9-17.
7. Yan, H., Luh, P.B., Guan, X., and Rogan, P.M.: 'Scheduling of Hydrothermal Power Systems', IEEE Trans. Power Syst., 1993, 8, pp. 1358-1365.
8. El-Sharkawi, M., and Niebur, D.: 'A tutorial course on Artificial neural networks with applications to power systems', IEEE Power Eng. Soc., 1996, TP 112-0.
9. Khotanzad, A., Afkhami-Rohani, R., and Maratu-Kulam, D.: 'ANNSTLF - Artificial neural network short term load forecaster - Generation three', IEEE Trans. Power Syst., 1998, 13, (4), pp. 1413-1423.
10. Mansour, Y., Vaahedi, E., Chang, A.Y., Corns, B.R., Tamby, J., and El-Sharkawi, M.A.: 'Large Scale Dynamic Security Screening and ranking using neural networks', IEEE Trans. Power Syst., 1997, 12, (2), pp. 954-960.
11. Park, J.H., Kim, Y.S., Eom, I.K., and Lee, K.Y.: 'Economic load dispatch for piecewise quadratic cost function using Hopfield neural network', IEEE Trans. Power Syst., 1993, 8, pp. 1030-1038.
12. Sasaki, H., Watanabe, M., Kubokawa, J., Yorino, N., and Yokoyama, R.: 'A Solution Method of Unit Commitment by Artificial Neural Networks', IEEE Trans. Power Syst., 1992, 7, pp. 974-981.
13. Hayashi, Y., Iwamoto, S., Furuya, S., and Liu, C.C.: 'Efficient determination of optimal radial power system structure using Hopfield neural network with constrained noise', IEEE Trans. Power Deliv., 1996, 11, (3), pp. 1529-1535.
14. Kennedy, M.P., and Chua, L.O.: 'Unifying the Tank and Hopfield Linear Programming Circuit and the Canonical Non-linear Programming Circuit of Chua and Lin', IEEE Trans. Circuits Syst., 1987, 34, pp. 210-214.
15. Svoboda, A.J., Tseng, C., Li, C., and Johnson, R.: 'Short-Term Resource Scheduling with Ramp Constraints', IEEE Trans. Power Syst., 1997, 12, pp. 77-83.
16. Aoki, K., Satoh, T., Itoh, M., Ichimori, T., and Masegi, K.: 'Unit Commitment in a Large-Scale Power System Including Fuel Constrained Thermal and Pumped-Storage Hydro', IEEE Trans. Power Syst., 1987, 2, pp. 1077-1083.
17. Hopfield, J.J.: 'Neural networks and physical systems with emergent collective computational abilities', Proc. Natl. Acad. Sci. USA, 1982, 79, pp. 2554-2558.
18. Walsh, M.P., Flynn, M.E., and O'Malley, M.J.: 'Augmented Hopfield network for mixed integer programming', IEEE Trans. Neural Netw., 1998, 10, pp. 456-458.
19. Li, S.Z.: 'Improving Convergence and Solution Quality of Hopfield-Type Neural Networks with Augmented Lagrange Multipliers', IEEE Trans. Neural Netw., 1996, 7, pp. 1507-1516.
20. Batut, J., and Renaud, A.: 'Daily Generation Scheduling Optimisation with Transmission Constraints: A New Class of Algorithms', IEEE Trans. Power Syst., 1992, 7, pp. 982-989.
21. Smith, K.: 'Neural networks for combinatorial optimisation: a review of more than a decade of research', INFORMS J. Comput., 1999, 11, pp. 15-34.