• DocumentCode
    114595
  • Title

    Dynamic balanced integration mechanism for LQG power networks with independent types

  • Author

    Murao, Toshiyuki ; Okajima, Yusuke ; Hirata, Kenji ; Uchida, Kenko

  • Author_Institution
    Dept. of Electr. Eng. & Biosci., Waseda Univ., Tokyo, Japan
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    1395
  • Lastpage
    1402
  • Abstract
    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 private control to minimize his own cost functional, and the utility decides prices to minimize a public cost functional and manages information transmissions. The model of this paper is a generic linear Gaussian model of power networks in which each agent has a type parameter with one´s private information. In this setting, inspired by the incentive cost in the mechanism design theory from economics, we discuss designs of a mechanism that integrates strategic determinations of private controls by the rational agents into optimal public control that achieve social welfare maximization, Bayesian incentive compatibility and budget balance. Two dynamic balanced integration mechanisms are proposed in both formulations of the fixed horizon and the receding horizon cases.
  • Keywords
    Bayes methods; incentive schemes; linear quadratic Gaussian control; power distribution control; power transmission control; Bayesian incentive compatibility; LQG power network; budget balancing; dynamic balanced integration mechanism; dynamic game model; fixed horizon; generic linear Gaussian model; optimal public control; private control; receding horizon; social welfare maximization; Bayes methods; Games; Generators; Information processing; Load modeling; Power system dynamics; Pricing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039597
  • Filename
    7039597