Journal article
Application of Model Predictive Control for Active Load Management in a Distributed Power System with High Wind Penetration
This paper introduces an experimental platform (SYSLAB) for the research on advanced control and power system communication in distributed power systems and one of its components-an intelligent office building (PowerFlexHouse), which is used to investigate the technical potential for active load management.
It also presents in detail how to implement a thermal model predictive controller (MPC) for the heaters' power consumption prediction in the PowerFlexHouse. It demonstrates that this MPC strategy can realize load shifting, and using good predictions in MPC-based control, a better matching of demand and supply can be achieved.
With this demand side control study, it is expected that MPC strategy for active load management can dramatically raise energy efficiency and improve grid reliability, when there is a high penetration of intermittent energy resources in the power system.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 1055-1062 |
| ISSN: | 19493061 and 19493053 |
| Types: | Journal article |
| DOI: | 10.1109/TSG.2011.2177282 |
| ORCIDs: | Zong, Yi , Thavlov, Anders , Gehrke, Oliver and Bindner, Henrik W. |
Active load management Distributed power system Flexible consumption Intelligente energisystemer Model predictive control SDG 7 - Affordable and Clean Energy Wind power penetration
Buildings Meteorology Power systems PowerFlexHouse Predictive models Resistance heating Temperature measurement active load management distributed power generation distributed power system distributed power systems flexible consumption grid reliability intelligent office building intermittent energy resources load management model predictive control power consumption prediction power distribution reliability power grids power system communication predictive control thermal model predictive controller wind penetration wind power penetration wind power plants
