Distributed predictive control for energy hub coordination in coupled electricity and gas networks


Reference:
M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter, "Distributed predictive control for energy hub coordination in coupled electricity and gas networks," Chapter 10 in Intelligent Infrastructures (R.R. Negenborn, Z. Lukszo, and H. Hellendoorn, eds.), vol. 42 of Intelligent Systems, Control and Automation: Science and Engineering, Dordrecht, The Netherlands: Springer, ISBN 978-90-481-3598-1, pp. 235-273, 2010.

Abstract:
In this chapter, the operation and optimization of integrated electricity and natural gas systems is investigated. The couplings between these different infrastructures are modeled by the use of energy hubs. These serve as interface between the energy consumers on the one hand and the energy sources and transmission lines on the other hand. In previous work, we have applied a distributed control scheme to a static three-hub benchmark system, which did not involve any dynamics. In this chapter, we propose a scheme for distributed control of energy hubs that do include dynamics. The considered dynamics are caused by storage devices present in the multi-carrier system. For optimally incorporating these storage devices in the operation of the infrastructure, their capacity constraints and dynamics have to be taken into account explicitly. Therefore, we propose a distributed Model Predictive Control (MPC) scheme for improving the operation of the multi-carrier system by taking into account predicted behavior and operational constraints. Simulations in which the proposed scheme is applied to the three-hub benchmark system illustrate the potential of the approach.


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Bibtex entry:

@incollection{ArnNeg:09-050,
        author={M. Arnold and R.R. Negenborn and G. Andersson and B. {D}e Schutter},
        title={Distributed predictive control for energy hub coordination in coupled electricity and gas networks},
        chapter={10},
        booktitle={Intelligent Infrastructures},
        series={Intelligent Systems, Control and Automation: Science and Engineering},
        volume={42},
        editor={R.R. Negenborn and Z. Lukszo and H. Hellendoorn},
        publisher={Springer},
        address={Dordrecht, The Netherlands},
        pages={235--273},
        year={2010},
        doi={10.1007/978-90-481-3598-1_10}
        }



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