Impact of wind farm integration on electricity market prices

IET Renewable Power Generation

Volumn 3, Issue 1, 2009, Pages 84-95

  Zeineldin, H H ^a   El Fouly, T H M ^b   El Saadany, E F ^b   Salama, M M A ^b  

^a KHALIFA UNIVERSITY   (United Arab Emirates)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; ELECTRIC LOAD FORECASTING; ELECTRIC UTILITIES; ELECTRICITY; FORECASTING; POWER ELECTRONICS; WIND POWER;

AUCTION MARKETS; CLEARING PRICES; DISTRIBUTED GENERATION TECHNOLOGIES; ELECTRICITY MARKET PRICES; MARKET PRICES; OPERATIONAL STRATEGIES; OPTIMAL POWER FLOW PROBLEMS; OUTPUT POWERS; POWER PREDICTIONS; WIND FARMS; WIND GENERATIONS;

MARKETING;

EID: 56749182456     PISSN: 17521416     EISSN: 17521424     Source Type: Journal    
DOI: 10.1049/iet-rpg:20080026     Document Type: Article

References (28)

1. 'Wind Force 12', Report by the European Wind Energy Association (EWEA), October 2002, http://www.ewea.org/doc/WindForce12.pdf
2. ' Wind Vision for Canada ', Recommendations for Achieving Canada's Wind Energy Potential, Report by the Canadian Wind Energy Association (CanWEA), June, 2001, http://www.canwea.ca/pdfs/CanWEA-WindVision.pdf
3. Piwko, R., Osborn, D., Gramlich, R., Jordan, G., Hawkins, D., and Porter, K.: ' Wind energy delivery issues ', IEEE Power Energy Mag., 2005, 3, (6), p. 47-56 10.1109/MPAE.2005.1524620 1540-7977
4. El-Fouly, T.H.M., El-Saadany, E.F., and Salama, M.M.A.: ' A study of wind farms output power prediction techniques ', Proc. North American Power Symposium, NAPS 2004, August, 2004, p. 249-254
5. Ewing, B.T., Kruse, J.B., and Schroeder, J.L.: ' Time series analysis of wind speed with time varying turbulence ', Environmetrics, 2006, 17, (2), p. 119-127 10.1002/env.754
6. Huang, Z., and Chalabi, Z.S.: ' Use of time-series analysis to model and forecast wind speed ', J. Wind Eng. Ind. Aerodyn., 1995, 56, p. 311-322 0167-6105
7. Kamal, L., and Jafri, Y.Z.: ' Time series models to simulate and forecast hourly averaged wind speed in Quetta, Pakistan ', Solar Energy, 1997, 61, p. 23-32 10.1016/S0038-092X(97)00037-6
8. Sfetsos, A.: ' A comparison of various forecasting techniques applied to mean hourly wind speed time series ', Renewable Energy, 2000, 21, p. 23-35 10.1016/S0960-1481(99)00125-1
9. More, A., and Deo, M.C.: ' Forecasting wind with neural networks ', Mar. Struct., 2003, 16, (1), p. 35-49
10. Costa, M., and Pasero, E.: ' Artificial neural systems for verglass forecast ', Proc. IJCNN '01. International Joint Conference on Neural Networks, 2001, 1, p. 258-262
11. Alexiadis, M.C., Dokopoulos, P.S., Sahsamanoglou, H.S., and Manousaridis, I.M.: ' Short-term forecasting of wind speed and related electric power ', Solar Energy, 1998, 63, (1), p. 61-68
12. Li, S., Wunsch, D.C., O'Hair, E., and Giesselmann, M.G.: ' Neural network for wind power generation with compressing function ', Int. Conf. Neural Netw., 1997, 1, p. 115-120
13. Damoisis, I.G., Alexiadis, M.C., Theocharis, J.B., and Dokopoulos, P.S.: ' A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation ', IEEE Trans. Energy Convers., 2004, 19, (2), p. 352-361 0885-8969
14. Barbounis, T.G., Theocharis, J.B., Alexiadis, M.C., and Dokopoulos, P.S.: ' Long term wind speed and power forecasting using local recurrent neural network models ', IEEE Trans. Energy Convers., 2006, 21, (1), p. 273-284 10.1109/TEC.2005.847954 0885-8969
15. Damousis, I.G., and Dokopoulos, P.: ' A fuzzy expert system for the forecasting of wind speed and power generation in wind farms ', PICA 2001. 22nd IEEE Power Engineering Society Int. Conf. Power Industry Computer Applications, 2001. Innovative Computing for Power - Electric Energy Meets the Market, May, 20-24, 2001, p. 63-69
16. Alexiadis, M.C., Dokopoulos, P.S., and Sahsamanoglou, H.S.: ' Wind speed and power forecasting based on spatial correlation models ', IEEE Trans. Energy Convers., 1999, 14, (3), p. 836-842 10.1109/60.790962 0885-8969
17. Landberg, L.: ' A mathematical look at a physical power prediction model ', Wind Energy, 1998, 1, (1), p. 23-28
18. Landberg, L.: ' Short-term prediction of the power production from wind farms ', J. Wind Eng. Ind. Aerodyn., 1999, 80, (1-2), p. 207-220 0167-6105
19. Ackermann, T.: ' Wind power in power systems ', (John Wiley & Sons, Ltd, England, 2005)
20. ' The effects of integrating wind power on transmission system planning, reliability, and operations ', Technical Report prepared by GE Energy, Energy Consultant, February, 2005
21. Smith, J.C., DeMeo, E.A., Parsons, B., and Milligan, M.: ' Wind power impacts on electric power system operating costs: summary and perspective on work to date ', Proc. 2004 Global WINDPOWER Conf, March, 29-31, 2004
22. Bathurst, G.N., Weatherill, J., and Strbac, G.: ' Trading wind generation in short term energy markets ', IEEE Trans. Power Syst., 2002, 17, (3), p. 782-789 10.1109/TPWRS.2002.800950 0885-8950
23. Fabbri, A., Román, T.G.S., Abbad, J.R., and Quezada, V.H.M.: ' Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market ', IEEE Trans. Power Syst., 2005, 20, (3), p. 1440-1446 10.1109/TPWRS.2005.852148 0885-8950
24. Bhattacharya, K., Bollen, M.H.J., and Daalde, J.E.: ' Operation of restructured power systems ', (Kluwer, USA, 2001)
25. Zeineldin, H.H., Bhattacharya, K., El-Saadany, E.F., and Salama, M.M.A.: ' Impact of Intentional islanding of distributed generation on electricity market prices ', IEE Proc., Gener. Transm. Distrib., 2006, 153, (2), p. 147-154 10.1049/ip-gtd:20045117 1350-2360
26. El-Fouly, T.H.M., El-Saadany, E.F., and Salama, M.M.A.: ' Grey predictor for wind energy conversion systems output power prediction ', IEEE Trans. Power Syst., 2006, 21, (3), p. 1450-1452 10.1109/TPWRS.2006.879246 0885-8950
27. Muljadi, E., Butterfield, C.P., Yinger, R., and Romanowitz, H.: ' Energy storage and reactive power compensators in a large wind farm ', Proc. 42nd AIAA Aerospace Sciences Meeting and Exhibit, January, 5-8, 2004
28. Verbic, G., and Canizares, C.: ' Probabilistic optimal power flow in electricity markets based on a two-point estimate method ', IEEE Trans. Power Syst., 2006, 21, (4), p. 1883-1893 10.1109/TPWRS.2006.881146 0885-8950