Design of an adaptive dynamic load shedding algorithm using neural network in the steelmaking cogeneration facility.

Iranian Journal of Science and Technology - Transactions of Electrical Engineering

Volumn 36, Issue E1, 2012, Pages 67-82

  Isazadeh, G H ^a   Hooshmand, R ^a   Khodabakhshian, A ^a  

^a UNIVERSITY OF ISFAHAN   (Iran)

Author keywords

Artificial neural networks; Frequency stability; Optimal load shedding; Under frequency relays

Indexed keywords

EID: 84867194193     PISSN: 22286179     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Concordia, C, Fink, L. H. & Poullikkas, G. (1994). Load shedding on an isolated power system. IEEE Trans. Power Sys., Vol. 10, No. 3, pp. 1467-1472.
2. Anderson, P. M. & Mirheydar, M. (1992). An adaptive method for setting underfrequency load shedding relays. IEEE Trans. Power Sys., Vol. 7, No. 2, pp. 647-653.
3. Hsu, C. T., Chen, C. S. & Chen, J. K. (1997). The load shedding scheme design for an integrated steel making cogeneration facility. IEEE Trans. Ind AppL, Vol. 33, No. 3, pp. 586-592. (Pubitemid 127828215)
4. Terzija, V. V. (2006). Adaptive underfrequency load shedding based on the magnitude of the disturbance estimation. IEEE Trans. Power Sys., Vol. 21, No. 3, pp. 1260-1266.
5. Terzija, V. V. & Koglin, H. J. (2002). Adaptive underfrequency load shedding integrated with a frequency estimation numerical algorithm. IEE Proc.-Gener. Transm. Distrib, Vol. 149, No. 6, pp. 713-718.
6. Seyedi, H., Sanaye-Pasand, M. (2009). Design of new load shedding special protection schemes for a double area power system. American Journal of Applied Sciences, Vol. 6, No. 2, pp. 317-327.
7. Seifi, H. & Pedram, M. M. (1999). A self-tuned fuzzy set based power system stabilizer with the aid of genetic algorithms and artificial neural networks. Iranian Journal of Science and Technology, Transaction B: Engineering, Vol. 23, No. 1, pp. 1-10.
8. Mohan Saini, L. & Kumar Soni, M. (2002). Artificial neural network-based peak load forecasting using conjugate gradient methods. IEEE Trans. Power Sys., Vol. 17, No. 3, pp. 907-912.
9. Swiatek, B., Rogoz, M. & Hanzelka, Z. (2007). Power system harmonic estimation using neural networks. 9th International Conference on Electrical Power Quality and Utilization, pp. 1-8.
10. Hsu, CT., Kang, M. S. & Chen, C. S. (2005). Design of adaptive load shedding by artificial neural networks. IEE Proc.-Gener. Transm. Distrib, Vol. 152, No. 3, pp. 415-421.
11. Hagan, M. T. & Menhaj, M. B. (1994). Training feed-forward networks with the marquardt algorithm. IEEE Trans. Neural Net., Vol. 4, No. 5, pp. 989-993.
12. IGMC Report, System planning Study in the IRAN Power Grid at the year of 2015.
13. IEEE Std 421.5-2005: (2006). IEEE recommended practice for excitation system models for power system stability studies.
14. IEEE Committee Report. (1973). Dynamic models for steam and hydro turbines in power system studies. IEEE Trans. Power Apparatus and Sys., Vol. 92, No. 6), pp. 1904-1915.
15. IEEE Std. C37.117: (2007). IEEE guide for the application of protective relays used for abnormal frequency load shedding and restoration, pp. 1-43.
16. Final report of M.S.C power system Blackout in the years of 2003 and 2006, (2008), MSC Research group.
17. Chen, C. S., Hsu, CT. & Ke, Y. L. (2000). Protective relay setting of the tie-line tripping and load shedding for the industrial power system. IEEE Trans. Ind. Appl, Vol. 36, No. 5, pp. 1226-1234.
18. ANSI/IEEE Std. C37.010: (1979). Application guide for AC high-voltage circuit breakers rated on a symmetrical basis.