Competitive Behavior of Hydroelectric Power Plants under Uncertainty in Spot Market

Abstract

This article aims to analyze agents’ behavior in a competitive hydrothermal energy market. The idea is to investigate how much the day-to-day behavior of the market can be different from the predictions presented by cost-based models because of the risk perception of each agent (hydroelectric energy producer, in this case) as a participant of the market. The main contribution is in determining the impact on the agents’ revenue in the short-term market due to the variation in the amount of energy generated and the market price, which other methodologies may not be able to capture. For this reason, a case study was made using daily simulations in a given month, observing the strategy and bids of eight hydroelectric agents for a central market operator emulated by an energy price offer simulator called SOPEE. The study reflected qualitative and quantitative examples of how the risk perception and the behavior of each agent can influence market behavior due to the variation in their perceptions of the parameters that form the energy price.

Overview of Some Recent Results of Energy Market Modeling and Clean Energy Vision in Canada

“…Zonal and nodal models of energy market in European Union were considered in Borowski (2020). The competitive behavior of hydroelectric power plants under uncertainty in the spot market was studied in De Brito et al (2022). A review of an offline and online approach to the OLTC condition monitoring was considered in Ismail et al (2022).…”