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A Capacity-Price Game for Uncertain Renewables Resources

Published: 12 June 2018 Publication History
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  • Abstract

    Renewable resources are starting to constitute a growing portion of the total generation mix of the power system. A key difference between renewables and traditional generators is that many renewable resources are managed by individuals, especially in the distribution system. In this paper, we study the capacity investment and pricing problem, where multiple renewable producers compete in a decentralized market. It is known that most deterministic capacity games tend to result in very inefficient equilibria, even when there are a large number of similar players. In contrast, we show that due to the inherent randomness of renewable resources, the equilibria in our capacity game becomes efficient as the number of players grows and coincides with the centralized decision from the social planner's problem. This result provides a new perspective on how to look at the positive influence of randomness in a game framework as well as its contribution to resource planning, scheduling, and bidding. We validate our results by simulation studies using real world data.

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    cover image ACM Conferences
    e-Energy '18: Proceedings of the Ninth International Conference on Future Energy Systems
    June 2018
    657 pages
    ISBN:9781450357678
    DOI:10.1145/3208903
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 12 June 2018

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    Author Tags

    1. Capacity game
    2. Nash equilibrium
    3. renewables generation

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    Overall Acceptance Rate 160 of 446 submissions, 36%

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    • (2019)A tractable ellipsoidal approximation for voltage regulation problems2019 American Control Conference (ACC)10.23919/ACC.2019.8814798(1301-1306)Online publication date: Jul-2019
    • (2019)A Perspective on Incentive Design: Challenges and OpportunitiesAnnual Review of Control, Robotics, and Autonomous Systems10.1146/annurev-control-053018-0236342:1(305-338)Online publication date: 3-May-2019
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