Complementarity for Wind Power in Turkey: A Correlation Analysis Using XGBoost

Year 2024, Volume: 11 Issue: 2, 52 - 60, 16.06.2024

Gökçe Kurucu , Semih Yumuşak

https://doi.org/10.30897/ijegeo.1437209

Abstract

Generation from resources such as wind power and photovoltaics are highly variable and relatively unpredictable. This variability has its own cost such that when the wind and photovoltaics happen to be low due to weather conditions, some other energy source should substitute them to satisfy the demand via market forces. The question is, to which extent does the thermal leg or the reservoir storage hydropower plants fill or substitute the gap in such cases? This is examined in the literature as the complementarity between the variable renewables and alternative sources of energy. For the purpose of answering this question, using hourly data for the period between 2015 and 2020 from Turkey, generation from the thermal leg and generation from reservoir storage hydropower plants are predicted with XGBoost, a machine learning algorithm, for different price and generation levels of wind power. The results point to a positive correlation between wind and reservoir storage hydropower, which concludes as the absence of complementarity between wind power and reservoir storage hydropower for the Turkish case. We comment that the feed-in-tariff system which guaranteed a price in US dollar terms per KwH of energy from reservoir storage hydropower decreased the incentives for substitution of wind power, cancelling out the balancing function of the reservoir storage hydropower. On the other hand, for positive prices, the natural gas fueled plants seem to substitute %63-%116 of the loss in wind power and the rest of the thermal leg happens to substitute %43-%59 of the loss in wind power, according to our calculations. These results point to a complementarity (over-substitution in this case) between wind power and the thermal leg.

Keywords

variable renewables, wind power, reservoir storage hydropower, thermal leg

References

• Brouwer, A.S., van den Broek, M., Seebregts, A., Faaij, A. (2014). Impacts of large scale intermittent renewable energy sources on electricity systems and how these can be modeled. Renewable and Sustainable Energy Reviews, 33, 443-466
• Caldeira, M.J.V., Ferraz, G.M.F., dos Santos, I.F.S., Tiago Filho, G.L. and Barros, R.M. (2023). Using solar energy for complementary energy generation and water level recovery in Brazilian hybrid hydroelectricity: An energy and economic study. Renewable Energy, 218, p.119287.
• Cantão, M. P., Bessa, M. R., Bettega, R., Detzel, D. H., Lima, J. M. (2017). Evaluation of hydro-wind complementarity in the Brazilian territory by means of correlation maps. Renewable Energy, 101, 1215-1225.
• Chen, T., Guestrin, C. (2016). Xgboost: A scalable tree boosting system. In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining (pp. 785-794).
• Cheng, Q., Liu, P., Feng, M., Cheng, L., Ming, B., Luo, X., Liu, W., Xu, W., Huang, K. and Xia, J. (2023). Complementary operation with wind and photovoltaic power induces the decrease in hydropower efficiency. Applied Energy, 339, p.121006.
• Chiemelu, N. E., Nkwunonwo, U., Okeke, F. İ., Ojinnaka, O. C. (2019). Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria. International Journal of Environment and Geoinformatics, 6(3), 244-253. https://doi.org/ 10.30897/ijegeo.549796
• Coban, H. H., Lewicki, W. (2023). Flexibility in power systems of integrating variable renewable energy sources. Journal of Advanced Research in Natural and Applied Sciences, 9(1), 190-204.
• De Groot, M. (2016). The Impact of Variable Renewable Electricity on Full Load Hours and Efficiency of Fossil-Fired Power Plants” Masters Thesis Energy Science University Utrecht Copernicus Institute of Sustainable Development
• Denault, M., Dupuis, D., Couture-Cardinal, S. (2009). Complementarity of hydro and wind power: Improving the risk profile of energy inflows. Energy Policy, 37(12), 5376-5384.
• Díaz, G., Coto, J., Gómez-Aleixandre, J. (2019). Optimal operation value of combined wind power and energy storage in multi-stage electricity markets. Applied energy, 235, 1153-1168.9
• Enerdata intelligence + consulting (2020). Available online: https://www.enerdata.net
• Energy Exchange Istanbul (EXIST) (2020). Transparency Platform https://seffaflik.epias.com.tr Exizidis, L., Kazempour, J., Pinson, P., De Grève, Z., Vallée, F. (2017). Impact of public aggregate wind forecasts on electricity market outcomes. IEEE Transactions on Sustainable Energy, 8(4), 1394-1405.
• Giebel, G., Brownsword, R., Kariniotakis, G., Denhard, M., Draxl, C. (2011). The state-of-the-art in short-term prediction of wind power: A literature overview. ANEMOS. plus.
• Guo, Y., Ming, B., Huang, Q., Yang, Z., Kong, Y. and Wang, X. (2023). Variation-based complementarity assessment between wind and solar resources in China. Energy Conversion and Management, 278, p.116726.
• Hirth, L. (2016). The Benefits of Flexibility: The Value of Wind Energy with Hydropower. Applied Energy, 181, 210-223
• Holttinen, H., O’Malley, M., Dillon, J., Flynn, D., Milligan, M., Söder, L., Van Hulle, F. (2012). Recommendations for wind integration studies. Proc. 11th Int. Work. Large-Scale Integr. Wind Power into Power Syst. as well as Transm. Networks O shore Wind Power Plants.
• IEA (2011). Harnessing Variable Renewables: A Guide to Balancing the Grid. Paris, France
• Itiki, R., Manjrekar, M., Di Santo, S.G. and Itiki, C. (2023). Method for spatiotemporal wind power generation profile under hurricanes: US-Caribbean super grid proposition. Renewable and Sustainable Energy Reviews, 173, p.113082.
• Jurasz, J., Canales, F. A., Kies, A., Guezgouz, M., Beluco, A. (2020). A review on the complementarity of renewable energy sources: Concept, metrics, application and future research directions. Solar Energy, 195, 703-724.
• Katzenstein, W. Apt, J. (2012). The cost of wind power variability Energy Policy, 51: 233-243
• Kurucu, G. (2019). Renewable Resources in Electricity Generation: The World and the Case of Türkiye. In A New Perspective in Social Sciences, 1st ed; Sarıipek, D.B., Yenihan, B., Franca, V.,Eds.; Publisher: Frontpage Publications, India, 2019: 125-129
• Law on Renewable Energy No. 5346. (2005). Official Gazette
• Milligan, M., Porter, K., DeMeo, E., Denholm, P., Holttinen, H., Kirby, B., Miller, N., Mills, A., O’Malley, M., Schuerger, M., Soder, L. (2009). Wind power myths debunked IEEE Power and Energy Magazine, 7(6: 89-99
• Moreno, F., J. M. Martinez-Val, (2011). Collateral Effects of Renewable Energies Deployment in Spain: Impact on Thermal Power Plants Performance and Management. Energy Policy 39, 6561-6574
• Öztürk, B., Serkendiz, H. (2018). Location Selection forWind Turbines in Balıkesir, NW Turkey, Using GIS. International Journal of Environment and Geoinformatics, 5(3), 284-295. https://doi.org/10. 30897/ijegeo.400025
• Pikk, P., Viiding, M. (2013). The dangers of marginal cost based electricity pricing, Baltic Journal of Economics, 13:1, 49-62, https://doi.org/ 10.1080/1406099X.2013.10840525
• Risso, A., Beluco, A., Marques Alves, R. D. C. (2018). Complementarity roses evaluating spatial complementarity in time between energy resources. Energies, 11(7), 1918.
• Van Ackere, A., Ochoa, P. (2010). Managing a hydro-energy reservoir: A policy approach. Energy policy, 38(11), 7299-7311.
• Wang, Y., Yan, W., Zhuang, S., Zhang,Q. (2019). Competition or Complementarity? The hydropower and thermal power nexus in China. Renewable Energy 138, 531-541