Abstract
This paper is about the joint operation of wind power with thermal power for bidding in day-ahead electricity market. Start-up and variable costs of operation, start-up/shut-down ramp rate limits, and ramp-up limit are modeled for the thermal units. Uncertainty not only due to the electricity market price, but also due to wind power is handled in the context of stochastic mix integer linear programming. The influence of the ratio between the wind power and the thermal power installed capacities on the expected profit is investigated. Comparison between joint and disjoint operations is discussed as a case study.
Similar content being viewed by others
Change history
10 October 2016
The original version of the book was published with a non-functional reference link in Chapter 14. The correction chapter has been updated with the change.
References
Laia, R., Pousinho, H.M.I., Melício, R., Mendes, V.M.F.: Self-scheduling and bidding strategies of thermal units with stochastic emission constraints. Energy Convers. Manage. 89, 975–984 (2015)
Kongnam, C., Nuchprayoon, S.: Feed-in tariff scheme for promoting wind energy generation. In: IEEE Bucharest Power Technical Conference, Bucharest, Rumania, pp. 1–6 (2009)
Bitar, E.Y., Poolla, K.: Selling wind power in electricity markets: the status today, the opportunities tomorrow. In: American Control Conference, Montreal, Canada, pp. 3144–3147 (2012)
Barros, J., Leite, H.: Feed-in tariffs for wind energy in Portugal: current status and prospective future. In: 11th International Conference on Electrical Power Quality and Utilization, Lisbon, Portugal¸pp. 1–5 (2011)
Al-Awami, A.T., El-Sharkawi, M.A.: Coordinated trading of wind and thermal energy. IEEE Trans. Sustain. Energy 2(3), 277–287 (2011)
Cena, A.: The impact of wind energy on the electricity price and on the balancing power costs: the Spanish case. In: European Wind Energy Conference, Marceille, France, pp. 1–6 (2009)
El-Fouly, T.H.M., Zeineldin, H.H., El-Saadany, E.F., Salama, M.M.A.: Impact of wind generation control strategies, penetration level and installation location on electricity market prices. IET Renew. Power Gener. 2, 162–169 (2008)
Bathurst, G.N., Weatherill, J., Strbac, G.: Trading wind generation in short term energy markets. IEEE Trans. Power Syst. 17, 782–789 (2002)
Matevosyan, J., Solder, L.: Minimization of imbalance cost trading wind power on the short-term power market. IEEE Trans. Power Syst. 21, 1396–1404 (2006)
Pinson, P., Chevallier, C., Kariniotakis, G.N.: Trading wind generation from short-term probabilistic forecasts of wind power. IEEE Trans. Power Syst. 22, 1148–1156 (2007)
Ruiz, P.A., Philbrick, C.R., Sauer, P.W.: Wind power day-ahead uncertainty management through stochastic unit commitment policies. In: IEEE/PES Power System Conference and Exposition, Seattle, USA, pp. 1–9 (2009)
Laia, R., Pousinho, H.M.I., Melício, R., Mendes, V.M.F.: Optimal bidding strategies of wind-thermal power producers. In: Camarinha-Matos, L.M., J. Falcão, A., Vafaei, N., Najdi, S. (eds.) DoCEIS 2016. IFIP AICT, vol. 470, pp. 494–503. Springer, Heidelberg (2016). doi:10.1007/978-3-319-31165-4_46
Fan, S., Liao, J.R., Yokoyama, R., Chen, L.N., Lee, W.J.: Trading wind generation from short-term probabilistic forecasts of wind power. IEEE Trans. Power Syst. 24, 474–482 (2009)
Kusiak, A., Zheng, H., Song, Z.: Wind farm power prediction: a data-mining approach. Wind Energy 12, 275–293 (2009)
Laia, R., Pousinho, H.M.I., Melício, R., Mendes, V.M.F., Reis, A.H.: Schedule of thermal units with emissions in a spot electricity market. In: Tomic, S., Graça, P., Camarinha-Matos, L.M. (eds.) DoCEIS 2013. IFIP AICT, vol. 394, pp. 361–370. Springer, Heidelberg (2013)
Catalão, J.P.S., Mariano, S.J.P.S., Mendes, V.M.F., Ferreira, L.A.F.M.: Short-term electricity prices forecasting in a competitive market: a neural network approach. Electr. Power Syst. Res. 77, 1297–1304 (2007)
Coelho, L.D., Santos, A.A.P.: A RBF neural network model with GARCH errors: application to electricity price forecasting. Electr. Power Syst. Res. 81, 74–83 (2011)
Amjady, N., Daraeepour, A.: Mixed price and load forecasting of electricity markets by a new iterative prediction method. Electr. Power Syst. Res. 79, 1329–1336 (2009)
Morales, J.M., Conejo, A.J., Ruiz, J.P.: Short-term trading for a wind power producer. IEEE Trans. Power Syst. 25(1), 554–564 (2010)
Laia, R., Pousinho, H.M.I., Melício, R., Mendes, V.M.F., Collares-Pereira, M.: Spinning reserve and emission unit commitment through stochastic optimization. In: IEEE SPEEDAM, Ischia, Italy, pp. 444–448 (2014)
Acknowledgments
This work is funded by Portuguese Funds through the Foundation for Science and Technology-FCT under the project LAETA 2015‐2020, reference UID/EMS/50022/2013; FCT Research Unit nº 151 C‐MAST Center for Mechanical and Aerospace Sciences and Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Laia, R., Pousinho, H.M.I., Melício, R., Mendes, V.M.F. (2017). Optimal Scheduling of Joint Wind-Thermal Systems. In: Graña, M., López-Guede, J.M., Etxaniz, O., Herrero, Á., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. SOCO CISIS ICEUTE 2016 2016 2016. Advances in Intelligent Systems and Computing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-47364-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-47364-2_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47363-5
Online ISBN: 978-3-319-47364-2
eBook Packages: EngineeringEngineering (R0)