| As the importance of hydropower plant operation and management and the conflict between energy supply and demand is considered, the Economical Operation of Hydropower Plant (EOHP) is becoming dramatic for the reason of increasing the economic performance of hydropower plant. With the opening of power market and the separation of power plant and power networks and the implementation of electricity price bidding, the power generation enterprise will participate in the competition. Therefore, hydropower plant must improve the competition ability to suit the reform of electricity market. Moreover, the reform of electricity market requests the economicaJ operation of hydropower plant used widely.This thesis tries to study several technical problems of EOHP, and to rebuild its' theory system and model system by using new theory and methods. The study of the design and development technique of quasi real-time EOHP prepares for its commercial popularization. The main results are as follows:(1) A calculation method of the spill water owing to improper dispatch for large-scale hydropower plant, which must undertake the spinning reserve of electrical network, was designed and applied. Considering of the operation of hydropower plant and the spinning reserve needed by the electrical network, the spill water may be calculated from the reasonable spinning reserve Nx; the maximum adjustable output of the plant Nmax; and the maximum adjustable output of each unit. The spill water owing to improper dispatch of Longyangxia hydropower plant in 2001 was calculated. The result showed the spill water owing to improper dispatch is remarkable. The spill water is 3.01×108m3, which is 1.84% of the output water for the hydropower plant in 2001. The converted electricity is 7462×104kWh, which is 1.86% of the output electricity for the hydropower plant in 2001. According to the shadow price of Northeast pool 0.194yuan/kWh, the economical lost is 1447.628 Yuan.(2) Quasi real-time EOHP theory system is put forward. The quasi real-time EOHP should be designed according to the characteristic of EOHP and the system deadline. By analyzing the process of EOHP and its' influence factors, two improvements should to be done to realize quasi real-time EOHP, one is to improve accuracy of data collection, and the other is to increase the speed of load dispatch. The data collection accuracy is depends on the efficiency calculation of water turbine generator units; and the evolutional method should be used to solve the load dispatch problem. At the same time, the EOHP system should be designed and be developed by unified model language (UML) as embedded system. Therefore, this thesis set up the theories, model and method for EOHP systematically.(3) In order to gain the correct state of each water turbine generator units, a radial basis function (RBF) neural network was proposed to calculate efficiency curve and forecast the flow consumption for water turbine generator unit. Compared with BP neural network, the RBFNN avoids the problem of local minimum and raises the learning. Thus, this method is feasible. This thesis tried to calculate the flowconsumption by neural network instead of the efficiency curve. A self-learning RBF neural network was modeled to calculate the flow consumption online with the training sample collected rolling. Applying this method in load dispatch of EOHP can calculate exactly and help to the application of EOHP.(4) Aiming at realizing quasi real-time EOHP of different kinds of hydropower plant, different evolutional method were proposed to solve the load dispatch problem. Three kinds of evolutional method, the Genetic Algorithms, the Evolutionary Programming and the Immune Algorithm as well as Dynamical Programming, were selected to use in the optimization. The case study shows that both the Dynamical Programming and the evolutional methods can be used to solve the load dispatch problem for run-of-river hydropower plant, and the evolutional method should be selected to solve the load dispatch p...
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