@inbook{ffffdbbb24004516ab5b9059045e20a3,
title = "Using Stackelberg Games to Model Electric Power Grid Investments in Renewable Energy Settings",
abstract = "Often renewable generators cluster in remote regions (such as windy islands) located away from demand centres. Suitability of these locations in terms of renewable resources, is often coupled with insufficient grid capacity, which leads to the application of generation curtailment, when power generated exceeds local aggregate demand. This work studies the effect of curtailments schemes on the strategic interaction of different investors. Our work uses a game-theoretic approach to study the profitability and decision making on future renewable investment, for a variety of different schemes. Next, we study the effect of curtailment and line access rules in power grid expansion. We model the interplay between a private line investor and local generators as a Stackelberg game and determine the generation capacity and profits at equilibrium. Finally, we examine a UK-based network upgrade case-study and show how results can be utilised to set a grid access payment mechanism, ensuring both the implementation of transmission and local generation investments.",
author = "Merlinda Andoni and Valentin Robu",
year = "2016",
month = sep,
day = "24",
doi = "10.1007/978-3-319-46882-2\_8",
language = "English",
isbn = "9783319468815",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "127--146",
editor = "Osman, \{Nardine \} and Sierra, \{Carles \}",
booktitle = "Autonomous Agents and Multiagent Systems",
}