Price and capacity competition in balancing markets with energy storage
Josh A. Taylor, Johanna L. Mathieu, Duncan S. Callaway, Kameshwar, Poolla

TL;DR
This paper models strategic behavior of energy storages in balancing markets, comparing capacity and energy pricing schemes, and analyzing effects of market horizon and efficiency on prices and storage commitments.
Contribution
It introduces a new two-stage game model for storage participation in balancing markets, explicitly incorporating storage dynamics and uncertainty.
Findings
Capacity pricing results in higher prices and commitments.
Energy pricing leads to lower, randomized prices and commitments.
Longer market horizons and higher efficiencies reduce prices.
Abstract
Energy storage can absorb variability from the rising number of wind and solar power producers. Storage is different from the conventional generators that have traditionally balanced supply and demand on fast time scales due to its hard energy capacity constraints, dynamic coupling, and low marginal costs. These differences are leading system operators to propose new mechanisms for enabling storage to participate in reserve and real-time energy markets. The persistence of market power and gaming in electricity markets suggests that these changes will expose new vulnerabilities. We develop a new model of strategic behavior among storages in energy balancing markets. Our model is a two-stage game that generalizes a classic model of capacity followed by Bertrand-Edgeworth price competition by explicitly modeling storage dynamics and uncertainty in the pricing stage. By applying the model…
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Taxonomy
TopicsSmart Grid Energy Management · Electric Power System Optimization · Microgrid Control and Optimization
