Risk-Aware Security-Constrained Unit Commitment: Taming the Curse of Real-Time Volatility and Consumer Exposure
arxiv(2023)
摘要
We propose an enhancement to wholesale electricity markets whereby the
exposure of consumers to increasingly large and volatile consumer payments
arising as a byproduct of volatile real-time net loads – i.e., loads minus
renewable outputs – and prices, both compared to day-ahead cleared values. We
incorporate a robust estimate of such excess payments into the day-ahead
computation and specifically seek to account for volatility in real-time net
loads and renewable generation. Our model features a data-driven uncertainty
set based on principal component analysis, which accommodates both load and
wind production volatility and captures locational correlation of uncertain
data. To solve the model more efficiently, we develop a decomposition algorithm
that can handle nonconvex subproblems. Our extensive experiments on a realistic
NYISO data set show that the risk-aware model protects the consumers from
potential high costs caused by adverse circumstances.
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