scholarly journals Optimization of Primary Frequency Regulation of 650MW Thermal Power Plant

2021 ◽  
Vol 1846 (1) ◽  
pp. 012077
Author(s):  
En ren Liu ◽  
Jun Li ◽  
Song Gao ◽  
Xiang rong Meng ◽  
Shuo Shi ◽  
...  
2014 ◽  
Vol 608-609 ◽  
pp. 915-919 ◽  
Author(s):  
Hong Xia Wu

Frequency is an important index of power quality, primary frequency regulation is of great significance for maintaining the grid frequency. In recent years, with the expansion of the power grid capacity and the continuous increase of the generator capacity, the large capacity units play a role is becoming more and more important in the primary frequency regulation of power grid. This paper takes ultra supercritical coal-fired units (1000MW) of a power plant of Hubei for example, primary frequency regulation control method, requency offset load curve and so on were studied through relevant test.


2013 ◽  
Vol 448-453 ◽  
pp. 2040-2044 ◽  
Author(s):  
Zheng Yu Liang ◽  
Shan Shan Li

As a basic auxiliary service, primary frequency regulation (PFR) is provided with significant effect in secure and stable operation for grids. Thermal power plants undertake important task in PFR by virtue of it is main type in grid-connected power plants. However, some problems such as slow response, inadequate load variable quantity, or even reverse regulating effect exist in actual PFR process. In PFR relative control logic, PFR command, load variable quantity command and main steam pressures influence must be taken into consideration. Regulating valves flow characteristics and adjustment of overlap degree can result in imbalance of load regulating under different working point. Frequency data utilized by grid dispatching center and power plant are inconsistent so that PFR evaluation may be affected. On the premise of safe operation in power plant, energy storage can improve units load in a fast time. A series of optimization measurements are put forward on the basis of the above four influence factors. In accordance with respective influence characteristics, these measurements possess a certain reference significance to improve performance index of PFR.


2012 ◽  
Vol 58 (4) ◽  
pp. 351-356
Author(s):  
Mincho B. Hadjiski ◽  
Lyubka A. Doukovska ◽  
Stefan L. Kojnov

Abstract Present paper considers nonlinear trend analysis for diagnostics and predictive maintenance. The subject is a device from Maritsa East 2 thermal power plant a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work avoiding the losses caused by planned maintenance. This paper addresses the needs of the Maritsa East 2 Complex aiming to improve the ecological parameters of the electro energy production process.


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