Predictive Smart Grid Control with Exact Aggregated Power Constraints

K Trangbæk, Mette Højgaard Petersen, Jan Dimon Bendtsen, Jakob Stoustrup

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

4 Citations (Scopus)

Abstract

This chapter deals with hierarchical model predictive control (MPC) of smart grid systems. The design consists of a high-level MPC controller, a second level of so-called aggregators,which reduces the computational and communication related load on the high-level control, and a lower level of autonomous consumers.

The control system is tasked with balancing electric power production and consumption within the smart grid, and makes active use of the flexibility of a large number of power producing and/or power consuming units. The load variations on the grid arise on one hand from varying consumption, and on the other hand from natural variations in power production from e.g. wind turbines.

The consumers represent energy-consuming units such as heat pumps, car batteries etc. These units obviously have limits on how much power and energy they can consume at any given time, which impose constraints on the optimisation taking place at the higher levels of the control system.

This chapter presents a novel method for computing the aggregated constraints without approximation, yielding better utilisation of the units when the load variations are large. The method is demonstrated through simulation of a smart grid containing consumers with very different characteristics. It is demonstrated how the novel aggregation method makes it possible for the top level controller to treat all these as one big consumer, significantly simplifying the optimisation.
Original languageEnglish
Title of host publicationSmart Power Grids : 2011
EditorsAli Keyhani, Muhammad Marwali
Place of PublicationBerlin Heidelberg
PublisherSpringer
Publication date2012
Pages655-674
Chapter21
ISBN (Electronic)978-3642215773
DOIs
Publication statusPublished - 2012
SeriesPower Systems
ISSN1612-1287

Fingerprint

Dive into the research topics of 'Predictive Smart Grid Control with Exact Aggregated Power Constraints'. Together they form a unique fingerprint.

Cite this