Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Study and Analysis of AGC and PFC to Power Grid Frequency Control

Authors
Jun Li, Dapeng Liao, HuiCong Li, Hui Zhang, Ting Wang
Corresponding Author
Jun Li
Available Online April 2016.
DOI
10.2991/ameii-16.2016.164How to use a DOI?
Keywords
grid frequency, automatic power generation control, primary frequency compensation, control strategy
Abstract

The interconnections of regional power network, wind power and other new energy connected to power grid make the operation of power grid more difficultly. The stability of power grid frequency mainly depends on primary frequency compensation (PFC) and automatic power generation control (AGC) of thermal power units. By analyzing the characteristics of them, the actual strategy response to frequency of accidents, and the mechanism of coordination of them were studied. The proposed control strategy can effectively control units to achieve the stability of power grid frequency.

Copyright
© 2016, 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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.164
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.164How to use a DOI?
Copyright
© 2016, 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  - Jun Li
AU  - Dapeng Liao
AU  - HuiCong Li
AU  - Hui Zhang
AU  - Ting Wang
PY  - 2016/04
DA  - 2016/04
TI  - Study and Analysis of AGC and PFC to Power Grid Frequency Control
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 842
EP  - 846
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.164
DO  - 10.2991/ameii-16.2016.164
ID  - Li2016/04
ER  -