Application of Model Predictive Control for Active Load Management in a Distributed Power System with High Wind Penetration

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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@article{ea0c075434ec4d63b90ce74df2b1d719,
title = "Application of Model Predictive Control for Active Load Management in a Distributed Power System with High Wind Penetration",
keywords = "Active load management, Distributed power system, Flexible consumption, Model predictive control, Wind power penetration, Intelligente energisystemer",
publisher = "Institute of Electrical and Electronics Engineers",
author = "Yi Zong and Daniel Kullmann and Anders Thavlov and Oliver Gehrke and Bindner, {Henrik W.}",
year = "2012",
doi = "10.1109/TSG.2011.2177282",
volume = "3",
number = "2",
pages = "1055--1062",
journal = "I E E E Transactions on Smart Grid",
issn = "1949-3053",

}

RIS

TY - JOUR

T1 - Application of Model Predictive Control for Active Load Management in a Distributed Power System with High Wind Penetration

A1 - Zong,Yi

A1 - Kullmann,Daniel

A1 - Thavlov,Anders

A1 - Gehrke,Oliver

A1 - Bindner,Henrik W.

AU - Zong,Yi

AU - Kullmann,Daniel

AU - Thavlov,Anders

AU - Gehrke,Oliver

AU - Bindner,Henrik W.

PB - Institute of Electrical and Electronics Engineers

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Active load management

KW - Distributed power system

KW - Flexible consumption

KW - Model predictive control

KW - Wind power penetration

KW - Intelligente energisystemer

U2 - 10.1109/TSG.2011.2177282

DO - 10.1109/TSG.2011.2177282

JO - I E E E Transactions on Smart Grid

JF - I E E E Transactions on Smart Grid

SN - 1949-3053

IS - 2

VL - 3

SP - 1055

EP - 1062

ER -