With types of power units, huge installed capacity and complicated operation modes, the Three Gorges Power Station (TGPS) is very important in network operation of Yangtze River area. Power forecasting of TGPS plays an important role in protecting the power network operation and shipping, especially for the short-term output forecasting. The water consumption rate of power station is one of the key conditions in short-term generation control system during non-abandon water period. Therefore, in order to develop the generation control scheduling model of TGPS in non-abandon water period, analysis on many factors should be put including: hydraulic turbine characteristic curves of cascade hydropower stations constructed by TGPS and the Gezhouba Power Station; discharge at dam site; water stage of relationship between upstream and downstream; and the last element is tailrace effect from the Gezhouba Power Station to TGPS. The historical operating result shows that the model referred has wide application prospect in production practice for high precision and much exercisable.
Hydrological models are always related to time and spatial domains, so the model results produced by these models are very large. Microsoft component structured storage can be employed to save the model results, but it is lack of mechanism to reduce the data size. In order to tackle this situation, compressed structured storage method is introduced which based on combining component structured storage and zlib compression library. In this method, standard component rules are complied and containment as most common mechanism for object reuse in COM is applied so as to simplify the usage.
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