Title
Hierarchical model predictive control for resource distribution
Abstract
This paper deals with hierarchical model predictive control (MPC) of distributed systems. A three-level hierarchical 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 consuming units can be exploited in a smart-grid solution. The objective is to accommodate load variations on the grid, arising from varying consumption and natural variations in power production, e.g. from wind turbines. The approach presented is based on quadratic optimisation and has low algorithmic complexity as well as good scalability. In particular, the proposed design methodology facilitates plug-and-play addition of subsystems without controller redesign. The method is verified by simulating a three-level smart-grid power control system for a small isolated power grid.
Year
DOI
Venue
2010
10.1109/CDC.2010.5717038
Decision and Control
Keywords
Field
DocType
control system synthesis,predictive control,quadratic programming,smart power grids,wind turbines,aggregators,autonomous units,consumption systems,distributed systems,hierarchical model predictive control,high level MPC controller,load variations,low algorithmic complexity,online MPC-like algorithm,quadratic optimisation,resource distribution,small isolated power grid,smart-grid electric power production,three-level smart-grid power control system,wind turbines
Electric power,Control theory,Smart grid,Computer science,Control theory,Model predictive control,Control engineering,Hierarchical database model,Grid,Wind power,Scalability
Conference
ISSN
ISBN
Citations 
0743-1546
978-1-4244-7745-6
7
PageRank 
References 
Authors
1.05
4
3
Name
Order
Citations
PageRank
Jan Dimon Bendtsen14622.56
Klaus Trangbaek2154.03
Jakob Stoustrup327452.57