Frequency Regulation with Storage: On Losses and Profits
Dirk Lauinger, Fran\c{c}ois Vuille, Daniel Kuhn

TL;DR
This paper develops an analytical model for storage operators providing frequency regulation, accounting for losses and profits, and reveals how efficiency and regulation duration impact profitability.
Contribution
It introduces a novel analytical solution for decision-making in frequency regulation storage, incorporating future uncertainties and energy losses.
Findings
Profitability decreases with longer regulation commitment periods.
Higher roundtrip efficiency reduces energy loss costs.
Expected energy loss cost increases with frequency deviation dispersion.
Abstract
Low-carbon societies will need to store vast amounts of electricity to balance intermittent generation from wind and solar energy, for example, through frequency regulation. Here, we derive an analytical solution to the decision-making problem of storage operators who sell frequency regulation power to grid operators and trade electricity on day-ahead markets. Mathematically, we treat future frequency deviation trajectories as functional uncertainties in a receding horizon robust optimization problem. We constrain the expected terminal state-of-charge to be equal to some target to allow storage operators to make good decisions not only for the present but also the future. Thanks to this constraint, the amount of electricity traded on day-ahead markets is an implicit function of the regulation power sold to grid operators. The implicit function quantifies the amount of power that needs…
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Taxonomy
TopicsSmart Grid Energy Management · Electric Power System Optimization
