Hierarchical Model Predictive Control for Resource Distribution

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23 Citationer (Scopus)

Resumé

This paper deals with hierarchichal model predictive control (MPC) of distributed systems. A three level hierachical approach is proposed, consisting of a high level MPC controller, a second level of so-called aggregators, controlled by an online MPC-like algorithm, and a lower level of autonomous units.
The approach is inspired by smart-grid electric power production and consumption systems, where the flexibility of a large number of power producing and/or power consuming units can be exploited in a smart-grid solution. The objective is to accommodate the load variation on the grid, arising on one hand from varying consumption, on the other hand by natural variations in power production e.g. from wind turbines.
The approach presented is based on quadratic optimization and possess the properties of low algorithmic complexity and of scalability. In particular, the proposed design methodology facilitates plug-and-play addition of subsystems without redesign of any controllers.
The method is supported by a number of simulations featuring a three-level smart-grid power control system for a small isolated power grid.
OriginalsprogEngelsk
TidsskriftI E E E Conference on Decision and Control. Proceedings
ISSN0743-1546
StatusUdgivet - 2010
Begivenhed49th IEEE Conference on Decision and Control - Atlanta, USA
Varighed: 15 dec. 201017 dec. 2010

Konference

Konference49th IEEE Conference on Decision and Control
LandUSA
ByAtlanta
Periode15/12/201017/12/2010

Fingerprint

Smart Grid
Model predictive control
Model Predictive Control
Hierarchical Model
Resources
Grid
Controller
Algorithmic Complexity
Quadratic Optimization
Controllers
Unit
Wind Turbine
Power Control
Power control
Power System
Wind turbines
Low Complexity
Design Methodology
Scalability
Distributed Systems

Citer dette

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title = "Hierarchical Model Predictive Control for Resource Distribution",
abstract = "This paper deals with hierarchichal model predictive control (MPC) of distributed systems. A three level hierachical approach is proposed, consisting of a high level MPC controller, a second level of so-called aggregators, controlled by an online MPC-like algorithm, and a lower level of autonomous units.The approach is inspired by smart-grid electric power production and consumption systems, where the flexibility of a large number of power producing and/or power consuming units can be exploited in a smart-grid solution. The objective is to accommodate the load variation on the grid, arising on one hand from varying consumption, on the other hand by natural variations in power production e.g. from wind turbines.The approach presented is based on quadratic optimization and possess the properties of low algorithmic complexity and of scalability. In particular, the proposed design methodology facilitates plug-and-play addition of subsystems without redesign of any controllers.The method is supported by a number of simulations featuring a three-level smart-grid power control system for a small isolated power grid.",
author = "Bendtsen, {Jan Dimon} and K Trangb{\ae}k and Jakob Stoustrup",
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journal = "I E E E Conference on Decision and Control. Proceedings",
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Hierarchical Model Predictive Control for Resource Distribution. / Bendtsen, Jan Dimon; Trangbæk, K; Stoustrup, Jakob.

I: I E E E Conference on Decision and Control. Proceedings, 2010.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

T1 - Hierarchical Model Predictive Control for Resource Distribution

AU - Bendtsen, Jan Dimon

AU - Trangbæk, K

AU - Stoustrup, Jakob

PY - 2010

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N2 - This paper deals with hierarchichal model predictive control (MPC) of distributed systems. A three level hierachical approach is proposed, consisting of a high level MPC controller, a second level of so-called aggregators, controlled by an online MPC-like algorithm, and a lower level of autonomous units.The approach is inspired by smart-grid electric power production and consumption systems, where the flexibility of a large number of power producing and/or power consuming units can be exploited in a smart-grid solution. The objective is to accommodate the load variation on the grid, arising on one hand from varying consumption, on the other hand by natural variations in power production e.g. from wind turbines.The approach presented is based on quadratic optimization and possess the properties of low algorithmic complexity and of scalability. In particular, the proposed design methodology facilitates plug-and-play addition of subsystems without redesign of any controllers.The method is supported by a number of simulations featuring a three-level smart-grid power control system for a small isolated power grid.

AB - This paper deals with hierarchichal model predictive control (MPC) of distributed systems. A three level hierachical approach is proposed, consisting of a high level MPC controller, a second level of so-called aggregators, controlled by an online MPC-like algorithm, and a lower level of autonomous units.The approach is inspired by smart-grid electric power production and consumption systems, where the flexibility of a large number of power producing and/or power consuming units can be exploited in a smart-grid solution. The objective is to accommodate the load variation on the grid, arising on one hand from varying consumption, on the other hand by natural variations in power production e.g. from wind turbines.The approach presented is based on quadratic optimization and possess the properties of low algorithmic complexity and of scalability. In particular, the proposed design methodology facilitates plug-and-play addition of subsystems without redesign of any controllers.The method is supported by a number of simulations featuring a three-level smart-grid power control system for a small isolated power grid.

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JO - I E E E Conference on Decision and Control. Proceedings

JF - I E E E Conference on Decision and Control. Proceedings

SN - 0743-1546

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