Coalitional Control for Self-Organizing Agents

Coalitional control is concerned with the management of multi-agent systems where cooperation cannot be taken for granted (due to, e.g., market competition, logistics). This paper proposes a model predictive control (MPC) framework aimed at large-scale dynamically coupled systems whose individual co...

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Bibliographic Details
Published inIEEE transactions on automatic control Vol. 63; no. 9; pp. 2883 - 2897
Main Authors Fele, Filiberto, Debada, Ezequiel, Maestre, Jose Maria, Camacho, Eduardo F.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:Coalitional control is concerned with the management of multi-agent systems where cooperation cannot be taken for granted (due to, e.g., market competition, logistics). This paper proposes a model predictive control (MPC) framework aimed at large-scale dynamically coupled systems whose individual components, possessing a limited model of the system, are controlled independently, pursuing possibly competing objectives. The emergence of cooperating clusters of controllers is contemplated through an autonomous negotiation protocol, based on the characterization as a coalitional game of the benefit derived by a broader feedback and the alignment of the individual objectives. Specific mechanisms for the cooperative benefit redistribution that relax the cognitive requirements of the game are employed to compensate for possible local cost increases due to cooperation. As a result, the structure of the overall MPC feedback can be adapted online to the degree of interaction between different parts of the system while satisfying the individual interests of the agents. A wide-area control application for the power grid with the objective of minimizing frequency deviations and undesired interarea power transfers is used as a study case.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2018.2792301