This paper estimates the impact of renewables on congestion in the Sicily- Southern Italy transmission line, using data for 2012, through a binary autoregression of congestion probabilities, and a vector autoregressive (VAR) model that allows to explore the dynamic interactions between RE supply, market power exercise, and congestion patterns.

Renewable flows and congested lines in the Italian power grid: Binary time series and vector autoregressions

SAPIO, Alessandro
2014-01-01

Abstract

This paper estimates the impact of renewables on congestion in the Sicily- Southern Italy transmission line, using data for 2012, through a binary autoregression of congestion probabilities, and a vector autoregressive (VAR) model that allows to explore the dynamic interactions between RE supply, market power exercise, and congestion patterns.
2014
978-88-8467-874-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/30023
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