2018/01/11 by Filiberto Fele, Ezequiel Debada, J. M. Maestre +2
Computer Science · Engineering · Mathematics · #Advanced Control Systems Optimization #Artificial intelligence #Computer science #Control (management) #Distributed Control Multi-Agent Systems #Distributed computing #Economics #Electric power system #Game theory #Grid #Mathematics #Microeconomics #Model predictive control #Multi-agent system #Negotiation #Power (physics) #Redistribution (election) #Reinforcement Learning in Robotics #cs.MA #cs.SY #eess.SY #math.OC
paper · pdf · doi:10.1109/tac.2018.2792301
published as in IEEE Transactions on Automatic Control, vol. 63, no. 9, pp. 2883-2897, Sept. 2018 · 14 pages, 8 figures
openalex publication_date 2018/01/11 · arxiv created 2021/08/02 · arxiv updated 2021/08/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.