Tackling challenges in infrastructure operation and control: cross-sectoral learning for process and infrastructure engineers

Zofia Lukszo; Margot P.C. Weijnen; Rudy R. Negenborn; Bart De Schutter

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Tackling challenges in infrastructure operation and control: cross-sectoral learning for process and infrastructure engineers

机译：解决基础架构运行和控制中的挑战：过程和基础架构工程师的跨行业学习

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The need for improving the operation and control of infrastructure systems has created a demand for optimisation and control methods that are applicable in the area of complex networked systems, which are operated by a multitude of actors in a setting of decentralised decision making. Because of the analogy between production systems and infrastructures, Process Systems Engineering (PSE) approaches for optimisation and control can be applied to infrastructure system operations. This paper explores the applicability of the techniques often used by the PSE community, i.e., multilevel optimisation and multiagent Model Predictive Control (MPC) in infrastructure system operation, and stresses their importance for capacity and system management in the energy and transport sectors.

机译：对改善基础设施系统的操作和控制的需求已经产生了对适用于复杂网络系统领域的优化和控制方法的需求，该系统由众多参与者在分散决策的情况下进行操作。由于生产系统和基础结构之间存在类比，因此用于优化和控制的过程系统工程（PSE）方法可以应用于基础结构系统操作。本文探讨了PSE社区经常使用的技术的适用性，即基础架构系统运行中的多级优化和多主体模型预测控制（MPC），并强调了它们对于能源和交通运输领域容量和系统管理的重要性。

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来源
《International journal of critical infrastructure》 |2009年第4期|308-322|共15页
作者
Zofia Lukszo; Margot P.C. Weijnen; Rudy R. Negenborn; Bart De Schutter;
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作者单位

Faculty of Technology Policy and Management Delft University of Technology, The Netherlands;

Faculty of Technology Policy and Management Delft University of Technology, The Netherlands;

Delft Center for Systems and Control Delft University of Technology, The Netherlands;

Delft Center for Systems and Control Delft University of Technology, The Netherlands;

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正文语种 eng
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关键词
infrastructure systems; multi-agent systems; optimisation; model predictive control; MPC;

机译：基础设施系统;多代理系统;优化;模型预测控制;MPC;

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Tackling challenges in infrastructure operation and control: cross-sectoral learning for process and infrastructure engineers

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