Comparison of Typical Hydro Governor Models for the Study of Power System Frequency Characteristics
- DOI
- 10.2991/eeeis-16.2017.4How to use a DOI?
- Keywords
- hydraulic turbine; speed governing model; the limiting of Primary frequency modulation.
- Abstract
In this paper, the model of hydro governor used in power system stability calculation is analyzed. According to the traditional model and the characteristics of the dead zone of the modern digital electro - hydraulic model, the effect of the dead zone on the frequency modulation effect is studied. The important parameters (Frequency coefficient) of the modern electric hydraulic model of hydraulic turbine are given in detail; The common software (PSD-BPA), which is used in power system stability calculation, is analyzed from the angle of the maximum frequency deviation, the stability time and the output power of the generator, and according to different disturbance conditions, analysis of the various types of speed control model of the applicable conditions. The simulation results show that the power imbalance caused by the system fault is in the primary frequency modulation limit, the modern digital electro hydraulic speed control model has better speed control effect, and vice versa. In this paper, the application of speed governing model and some parameters setting of the speed control model are provided for the practical engineering application of hydraulic turbine governing model.
- 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/).
Cite this article
TY - CONF AU - Ya-Wei Du AU - Qing Wang AU - Chang-Ming Jiang AU - Ya-Zhou Luo AU - Yue-Qiao Li AU - Peng Zi AU - Yun-Ting Song PY - 2016/12 DA - 2016/12 TI - Comparison of Typical Hydro Governor Models for the Study of Power System Frequency Characteristics BT - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016) PB - Atlantis Press SP - 24 EP - 34 SN - 2352-5401 UR - https://doi.org/10.2991/eeeis-16.2017.4 DO - 10.2991/eeeis-16.2017.4 ID - Du2016/12 ER -