Keywords
electricity market
short-term forecasting
forecast interval
deep learning neural networks
cost estimation
How to Cite
Abstract
The significant increase in the installed capacity of power plants with renewable energy sources and the imbalance of the financial system of the wholesale electricity market of Ukraine prompted the Ministry of Energy to develop an alternative support mechanism for RES producers. The introduction of a feed-in tariff (FIP), which compensates for the difference between the actual sale price of electricity and the "green" tariff, can help producers receive more money immediately after the electricity is released. However, studies have shown that exiting a balancing group without forming a new one can lead to increased costs associated with forecasting error. It is important for manufacturers to form independent balancing groups to compensate for negative consequences. The findings of the article show that there is no single optimal balancing group for all manufacturers, but some groups are often repeated. Switching to a separate balancing group can have a significant economic effect for the manufacturer, reducing the cost of forecasting error compared to being solely responsible for the imbalance. However, the balancing group determined by the method of retrospective calculation of the cost of the forecast error is not stable in the long term. References 4, fig. 2, tab. 3
References
On approval of regulations governing the activities of a guaranteed buyer and purchase of electricity at a green tariff. Resolution of National energy and regulatory commission, Ukraine, April 26 , 2019. No 641 (with changes of the resolution No 2802). (Ukr)
Blinov I.V., Miroshnyk V.O., Loskutov S.S., Miroshnyk V.O. Reduction of costs for covering imbalances of members of the balancing group of producers of electric energy from renewable sources. Tekhnicna electrody-namika. 2023. No 1. Pp. 62–76. DOI: https://doi.org/10.15407/techned2023.01.062 (Ukr)
Pablo-Romero M.P., Sánchez-Braza A., Salvador-Ponce J., Sánchez-Labrador N.An overview of feed-in tariffs, premiums and tenders to promote electricity from biogas in the EU-28. Renewable and Sustainable Energy Reviews. 2017. Vol. 73. Pp. 1366–1379. DOI: https://doi.org/10.1016/j.rser.2017.01.132
Kitzing L. Risk implications of renewable support instruments: Comparative analysis of feed-in tariffs and premiums using a mean–variance approach. Energy. 2014. Vol. 64. Pp. 495–505. DOI: https://doi.org/10.1016/j.energy.2013.10.008
About the statement of Rules of the market. Resolution of National energy and regulatory commission, Ukraine, March 14 , 2018. No 307. Uriadovyi kur’ier. 2018. No 117. (Ukr)
Blinov I.V., Shymanyuk P.V., Miroshnyk V.O. Estimation of the cost of the error of the forecast "a day ahead" of technological losses in the electrical networks of Ukraine. Tekhnicna electrodynamika. 2020. No 5. Pp. 70–73. DOI: https://doi.org/10.15407/techned2020.05.070 (Ukr)
Hong T. Crystal Ball Lessons in Predictive Analytics. EnergyBiz. 2015. Vol.12. Issue 2. Pp. 35–37.
Ivanov H.A., Blinov I.V., Parus E.V. Architecture of tools of estimating the influence of renewable sources on the electricity cost in Ukraine. Natural and Technical Sciences. 2020. VIII (30). Issue 244. Pp. 49–52. DOI: https://doi.org/10.31174/SEND-NT2020-244VIII30-12
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