Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering

MATEC Web of Conferences –A New Networked AGC Control Method Based on Time-Lag Model Predictive Control

Authors
Qingjun Peng, Degang Zhang, Chuan Zhou, Niancheng Zhou
Corresponding Author
Qingjun Peng
Available Online November 2015.
DOI
10.2991/ism3e-15.2015.132How to use a DOI?
Abstract

This paper proposes a time-lag model predictive control (MPC) method to solve the problem of communication delay in networked automatic generation control (AGC). The method uses the optimum weighting method to predict delay and the time-lag dynamic state equation of interconnected grid as the MPC prediction model. Then the deviation of predicted output is added to the objective function of rolling optimization in MPC method. The backup suboptimal control command from MPC controller can handle the loss of data packet in networked AGC. The correctness of the proposed method is verified by dynamic simulation.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-141-4
ISSN
2352-5401
DOI
10.2991/ism3e-15.2015.132How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qingjun Peng
AU  - Degang Zhang
AU  - Chuan Zhou
AU  - Niancheng Zhou
PY  - 2015/11
DA  - 2015/11
TI  - MATEC Web of Conferences –A New Networked AGC Control Method Based on Time-Lag Model Predictive Control
BT  - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
PB  - Atlantis Press
SP  - 551
EP  - 554
SN  - 2352-5401
UR  - https://doi.org/10.2991/ism3e-15.2015.132
DO  - 10.2991/ism3e-15.2015.132
ID  - Peng2015/11
ER  -