Impact of Power-Frequency Constraint of Feedwater System in Thermal Power Plant on Frequency Characteristics of Power System

被引:0
作者
Xie Y. [1 ]
Li C. [1 ]
Zhang H. [1 ]
Ma C. [2 ]
机构
[1] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan
[2] State Grid Shandong Electric Power Research Institute, Jinan
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 07期
基金
中国国家自然科学基金;
关键词
Feedwater system; Frequency response model; Power-frequency constraint; Static power-frequency characteristic; System frequency characteristic;
D O I
10.7500/AEPS20200701005
中图分类号
TM [电工技术];
学科分类号
0808 ;
摘要
A detailed system frequency response model is the basis for accurately analyzing frequency characteristics of the power system. The existing frequency response models do not consider the impacts of the power-frequency characteristics of the feedwater system in the thermal power plant and its power-frequency constraints on the system frequency characteristics under large frequency deviation. It is difficult to accurately analyze power system frequency characteristics under severe frequency deviations. The output change of the feedwater system affects the output of the unit, which plays an important role in the safe and stable operation of the unit. Firstly, the power-frequency characteristics of the feedwater system are analyzed. Then an extended frequency response model considering the feedwater system is constructed. The impacts of the power frequency constraints of the feedwater system on the static power-frequency characteristics of generating units are analyzed within the larger frequency deviation range and it is found that the generator output increases first and then decreases with frequency declining. Finally, the extended frequency dynamic simulation and analysis tool is developed based on the PSS/E. The impacts of power-frequency constraints of the feedwater system on the power system static power-frequency characteristics and frequency response characteristics are analyzed under different disturbances in the 39-bus system. © 2021 Automation of Electric Power Systems Press.
引用
收藏
页码:132 / 139
页数:7
相关论文
共 23 条
[1]  
XU Tao, LI Gang, YU Zhao, Et al., Design and application of emergency coordination control system for multi-infeed HVDC receiving system coping with frequency stability problem, Automation of Electric Power Systems, 41, 8, pp. 98-104, (2017)
[2]  
LI Shichun, LYU Xiangsheng, ZHONG Hao, Et al., Adaptive under-frequency load shedding strategy of power grid with large-scale DFIG wind turbines participating in frequency regulation, Automation of Electric Power Systems, 43, 15, pp. 109-120, (2019)
[3]  
HU Jiabing, SUN Li, YUAN Xiaoming, Et al., Modeling of type 3 wind turbines with df/dt inertia control for system frequency response study, IEEE Transactions on Power Systems, 32, 4, pp. 2799-2809, (2017)
[4]  
TAO Renfeng, LI Fengting, LI Yanqing, Et al., Optimal configuration of generalized spinning reverse for power grid based on characteristics of system frequency response, Automation of Electric Power Systems, 43, 9, pp. 82-91, (2019)
[5]  
OBAID Z A, CIPCIGAN M, ABRAHIM L, Et al., Frequency control of future power systems: reviewing and evaluating challenges and new control methods, Journal of Modern Power Systems and Clean Energy, 7, 1, pp. 9-25, (2019)
[6]  
SHAO Yao, TANG Yong, YI Jun, Et al., Analysis and lessons of blackout in Turkey power grid on March 31, 2015, Automation of Electric Power Systems, 40, 23, pp. 9-14, (2016)
[7]  
ZENG Hui, SUN Feng, LI Tie, Et al., Analysis of "9•28" blackout in South Australia and its enlightenment to China, Automation of Electric Power Systems, 41, 13, pp. 1-6, (2017)
[8]  
SUN Huadong, XU Tao, GUO Qiang, Et al., Blackout in Great Britain power grid on August 9th, 2019 and its enlightenment to power grid in China, Proceedings of the CSEE, 39, 21, pp. 6183-6191, (2019)
[9]  
PSS/E program application manual (V33.5), (2013)
[10]  
PADRON S, HERNANDEZ M, FALCON A., Reducing under-frequency load shedding in isolated power system using neural networks. Gran Canaria: a case study, IEEE Transactions on Power Systems, 31, 1, pp. 63-71, (2016)