A dynamic mechanism for LQG power networks with random type parameters and pricing delay

Yusuke Okajima, Toshiyuki Murao, Kenji Hirata, Kenko Uchida

    研究成果: Conference contribution

    15 被引用数 (Scopus)

    抄録

    We consider a dynamic game model of power networks with generators and/or consumers, called agents, and one public commission, called utility; a game with a prescribed dynamic mechanism is performed such that each agent decides a private control to minimize its own cost functional, and the utility manages information transmissions between the utility and agents and decides command signals, called prices, to minimize a public cost functional. We discuss designs of the mechanism that integrates strategic determinations of private controls by the agents into the optimal public controls that achieve the optimal social welfare and rational agents can accept. The model of this paper is a generic linear Gaussian model of power networks, which is motivated by so-called average system frequency models; in each model of the agents, we includes the type parameter presenting each agent's private information; we also consider the time delay in calculation of prices by utility. Assuming that each private cost functional as well as the public cost functional is quadratic, we derive formulas of the pricing schemes, and the incentive cost, inspired by the pivot function in the mechanism design theory literate from economics, that characterize our mechanism design in both formulations of the fixed horizon control and the receding horizon control cases.

    本文言語English
    ホスト出版物のタイトルProceedings of the IEEE Conference on Decision and Control
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ2384-2390
    ページ数7
    ISBN(印刷版)9781467357173
    DOI
    出版ステータスPublished - 2013
    イベント52nd IEEE Conference on Decision and Control, CDC 2013 - Florence
    継続期間: 2013 12 102013 12 13

    Other

    Other52nd IEEE Conference on Decision and Control, CDC 2013
    CityFlorence
    Period13/12/1013/12/13

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Modelling and Simulation
    • Control and Optimization

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