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Development And Research Of Panshitou Reservior Real-time Flood Scheduling Subsystem

Posted on:2005-03-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y X GuoFull Text:PDF
GTID:2132360122998720Subject:Water Resources and Hydropower Engineering
Abstract/Summary:PDF Full Text Request
The real-time flood scheduling subsystem is a part of the reservoir scheduling auto-monitoring systems. According to the reservoir inflow forecasted by the real-time flood forecasting subsystem, it derives the best or proper association of stage and discharge, which satisfies flood prevention and power require, supplies theory analysis and technique support for scheduling schemes of reservoir. It is the ultimate purpose of the flood forecasting and scheduling system.Based on the real-time automatic subsystem of hydrologic data collection and transmission and the real-time flood forecasting subsystem of Panshitou reservoir, this paper studies and develops the real-time flood scheduling subsystem by system engineering methodology and computer technique, perfects the reservoir scheduling auto-monitoring system. The main contents of this paper are as follows:1. The reservoir inflow, which are forecasted by the real-time flood forecasting subsystem and stored in SQL Server database, are analyzed. The statistics of flood characteristic conclude peak flow,flood volume, flood frequency etc. Especially, the flood frequency overall considers the peak flow frequency and the flood volume frequency and explodes to user by the form of rainfall reappearing period.2. By making use of reservoir characteristic curve simulated by natural spline function, the discharge of reservoir are directly derived by four-order Rung-Kutta method. At that time, thorough analysis of relations of stage, storage and discharge, the pace of calculation time is determined. This method reduces the error generated by the non-analyticity characteristic, which is that anything function can't accurately express the relation of inflow, storage and discharge in flood regulation.3. Since the fact that the reservoir inflow is known in term of scheduling, the problem need directly and distinctly be replied. The model is the deterministic optimize scheduling model of single reservoir. Under the precondition of dam's safety, some of flood scheduling model, which conclude the regular scheduling model, the maximum peak clipping criterion scheduling model, the minimum deluge time criterion scheduling model and the experience scheduling model etc, are established and resolved by the nonlinear programming and the progressive optimality algorithm.4. The regular scheduling model is regarded as the based scheme to compare with other scheduling models. The tested cases adopt the reduced design inflow of Panshitou reservoir. Through compared and analyzed, every model's application conditions and merits and faults are given.5. Based on the project conditions and the hydrographic conditions of Panshitou reservoir, the real-time flood scheduling model library is established. The real-time flood scheduling subsystem is developed, which is of excellent interface, simple and interactive manipulation. The different progress of flood storage-discharge corresponding to optimization of gate opening is derived. This system supplies technique support for the gate auto-monitoring system.Panshitou reservoir under construction is the II type project. After the reservoir is completed, the project conditions and the basin hydrographic conditions need to be further verified. The flood forecasting and scheduling system need to be examined by actual flood, and the reliability scheduling need to be further improved in practical. In addition, this system didn't seem Weihe catchment as a whole system because of the restriction of project data and conditions. The system need to be perfected so that the flood prevention ability of Weihe is improved and the loss of flood disaster and waterlog is reduced in last works.
Keywords/Search Tags:real-time flood scheduling, flood frequency, flood regulation, scheduling model, the automatic subsystem of hydrologic data collection and transmission, the progressive optimality algorithm
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