Abstract: Considering the shortage of real machine test data in design of pump-turbine for most of the
pumped storage power stations in China, this paper presents a study of plant optimal operation and joint
economic operation of hydropower and thermal power stations based on model test data of pump turbine,
design data of pipe system, and efficiency characteristic curve of generator provided by the manufacturer to
enhance the dynamic benefits of pumped storage stations. First, data of fuzzy dynamic characteristics were
measured and a point-to-point modification on fixed dynamic characteristics of fuzzy data was made with an
"exponential decay" static method in combination with the historical databases recorded by the computer
monitoring system of pump-storage station. Then, the data of dynamic characteristics were corrected
dynamically via an extension neural network training method based on a principle called "disjoint and linear
equidistant head of unit". These two methods were coded in integrated modules that are embedded in a
software system. Thus we have developed the system V3.0 for analysis of the dynamic characteristics of
pump-turbine in pumped storage power station. Application shows that the characteristic equations of
pump-storage station derived using the previously-mentioned modification and correction better describe the
real cases and their solution produces satisfactory results. The present work would lay a basis for further
study on plant optimization of pump-storage station and economic operation of joint hydro-thermal power
stations.