Open AccessReal machine Test inversion research of J Pumped Storage Power Station
Author(s) -
Mengjie Zhang,
Gaohui Li,
Zhao Ruicun,
DanZhen wangjia,
Linlin Zhang,
Weijie Cui,
Tianchi Zhou
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/826/1/012030
Subject(s) - inversion (geology) , control theory (sociology) , electrical impedance , load rejection , turbine , power station , inverse transform sampling , impedance parameters , mechanics , computer science , engineering , electrical engineering , mechanical engineering , physics , geology , meteorology , paleontology , control (management) , aerosol , structural basin , artificial intelligence
Accurate prediction of transition process is an important issue in the design and operation of pumped storage power station. In this paper, combined with load rejection test of J Pumped-storage Power Station, the basic equation of water flow motion and the element matrix equation of the turbine were established first, and the calculation model was established through HYSIM software. Then for the 100% load rejection control condition, the inversion calculation and analysis of actual load rejection test under the same boundary condition were carried out. According to the comparison process line between numerical simulation and measured data of the surge-chamber water level, a comprehensive combination calculation was used to calibrate the impedance coefficient of surge-chamber. Finally, based on the calibrated impedance coefficient, a new calculation model was established, and the inversion calculation was carried out again. By comparing the numerical simulation and measured data of volute and tail pipe pressure, the pressure pulsation characteristics of the characteristic parameters of the unit were obtained, and the correction value of pressure pulsation was obtained. The calibration method and pressure pulsation correction method adopted in this paper can provide a reference for the inversion analysis of load rejection test in similar power stations.