Analysis and Improvement of Identification Method for Critical Unit in Transient Process of Multi-generator Power System

DOI

10.2991/icmse-17.2017.1How to use a DOI?

Keywords

Extended Equal Area Criterion (EEAC); multi-generator power system; Power System Analysis Software Package(PSASP); transient stability; critical unit identification; unit power difference

Abstract

The extended equal area criterion (EEAC) is one of the most important methods to identification the stability of Multi-generator Power System, and the key of this method is to correctly identify the critical unit. However, critical units of the existing recognition methods exist some problems, such as the existing methods in the early fault can not correctly identify critical units, and need to adopt different parameters to identify critical units in different situations. Based on the above problems, this paper analyzes the advantages and disadvantages of the existing critical unit identification methods, and proposes an improved method for the identification of critical units. The improved critical unit identification method uses the real time difference between the mechanical power and the electromagnetic power of the generator, and the difference is defined as the unit power difference. Finally, the simulation and analysis results show that the improved method can identify the critical unit more quickly and accurately.

Copyright

© 2017, 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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TY  - CONF
AU  - Wenyong Li
AU  - Hongsheng Su
PY  - 2017/04
DA  - 2017/04
TI  - Analysis and Improvement of Identification Method for Critical Unit in Transient Process of Multi-generator Power System
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 1
EP  - 8
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.1
DO  - 10.2991/icmse-17.2017.1
ID  - Li2017/04
ER  -