Optimal energy bidding for renewable plants: A practical application to an actual wind farm in Spain

Lázaro Endemaño-Ventura, Javier Serrano González, Juan Manuel Roldán Fernández, Manuel Burgos Payán and Jesús Manuel Riquelme Santos

Renewable Energy, 2021, vol. 175, issue C, 1111-1126

Abstract: Finding an optimal bidding strategy for a wind farm in the electricity market is not straightforward due to the wind variability. This issue is becoming more relevant as renewable plants are more exposed to market signals. Considering the characteristics of the European markets, operators must submit the energy bidding between 12 and 36 h ahead the actual delivery time. This bidding can be adjusted later in any session of the intraday markets, but sometimes this is not enough to reduce significantly the deviation risk. This paper presents a practical application of a method to analytically calculate the optimal bidding of a wind power plant, based on the maximisation of the income function. The results show that, given the characteristics of the deviation markets in Spain, the optimal bidding strategy depends essentially on the deviation of the system. The proposed technique has been tested and validated in a real application by considering actual data for energy production and forecasts for an operating wind farm in Spain, as well as real market deviations and prices provided by the Spanish system and market operators; analysing the advantages of the proposed optimal bidding strategy over the most plausible option, based on bidding the forecasted energy.

Keywords: Electricity balancing markets; Electricity day-ahead market; Wind power bidding; Wind energy (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:175:y:2021:i:c:p:1111-1126

DOI: 10.1016/j.renene.2021.05.054

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