不同投资主体梯级水库动态防汛增效方法

发布时间：2018-04-26 05:26

本文选题：动态汛限水位 + 灌溉面积统计　；参考：《中国水利水电科学研究院》2017年硕士论文

【摘要】：湖北黄龙滩电站是中国众多大型水电站的代表,设计年份较早,特征信息更新不及时,运营手段较为落后,缺乏系统的电站防汛增效方法,一定程度上制约了水库的兴利效益。特别是其上游的潘口电站近期投入运营,对下游黄龙滩电站的入流情况以及防汛要求等产生了颠覆性的改变,且两个电站属于典型的不同投资主体之情况,故在研究过程中,目标与传统的梯级水库联合调度有所不同。本文针对黄龙滩建库以来的特征量改变,考虑不同投资主体潘口电站的调度规则,从核准新的动态汛限水位和灌溉面积入手,进行黄龙滩电站发电调度图优化,以及厂内机组经济运行。论文主要研究内容与研究成果包括:(1)对湖北黄龙滩水库,在其上游建立潘口水电站之后,针对其汛限水位进行重新核准。根据汛前期,夏汛期,秋汛期的典型洪水,使用蒙特卡洛方法,通过权衡汛限水位与对应的防洪风险,进行汛限水位动态控制。(2)由于黄龙滩水电站承担一定的下游灌溉任务,而当地相应灌溉面积数据已经过于老旧并缺乏新的实测普查数据,本文通过Google Earth高分辨率图像监督MODIS-NDVI中分辨率图像的遥感方法对黄龙滩下游玉米地灌区的灌溉面积进行统计,结合当地灌溉规则,进而定量估算水库的时段灌溉任务。(3)基于新核准的动态汛限水位和灌溉约束,利用可行空间搜索遗传算法(FRGA),选用合适的调度图概化方式,以发电量与发电保证率作为目标,进行黄龙滩发电调度图关键参数的优化,并在优化基础上与原调度图的运行结果进行对比,分析发电量与发电保证率在优化前后的情况。(4)在考虑机组震荡空蚀区的基础上,应用可行空间搜索遗传算法(FRGA)进行黄龙滩电站厂内机组经济运行,并将优化结果与2013年定出力情况下的实际分配进行对比。
[Abstract]:Huanglongtan Hydropower Station in Hubei Province is a representative of many large hydropower stations in China. The design year is early, the characteristic information is not updated in time, the operation means are relatively backward, and the systematic methods of flood prevention and efficiency increase are lacking, which restricts the benefit of reservoir to a certain extent. In particular, the recent operation of the Pan Kou Power Station upstream has caused subversive changes to the inflow situation and flood control requirements of the downstream Huanglongtan Hydropower Station, and the two power stations are typical different investors, so in the course of the research, The target is different from the traditional cascade reservoir operation. In view of the change of characteristic quantity since the establishment of Huanglongtan Reservoir, considering the dispatching rules of Pankou Hydropower Station, a new dynamic flood limit water level and irrigation area are approved to optimize the power generation scheduling chart of Huanglongtan Hydropower Station. And the plant unit economic operation. The main research contents and results of this paper include: (1) on Huanglongtan Reservoir in Hubei Province, after the establishment of Pankou Hydropower Station in the upper reaches of the reservoir, the flood limit water level is re-approved. According to the typical flood in pre-flood period, summer flood season and autumn flood season, using Monte Carlo method, by weighing the flood limit water level and corresponding flood control risk, the flood limit water level dynamic control. However, the local irrigation area data are too old and lack of new survey data. In this paper, the irrigated area of maize irrigated area in the lower reaches of Huanglong Beach is counted by the remote sensing method of Google Earth high resolution image supervising MODIS-NDVI middle resolution image. Based on the newly approved dynamic flood limit water level and irrigation constraints, the feasible space search genetic algorithm (FRGAA) is used to select a suitable generalizable mode of dispatching map. Taking electricity generation and power generation guarantee rate as the target, this paper optimizes the key parameters of Huanglongtan power generation dispatching chart, and compares with the operation result of the original dispatch chart on the basis of optimization. This paper analyzes the situation of generating quantity and power generation guarantee rate before and after optimization. On the basis of considering the unit oscillation cavitation area, the feasible space search genetic algorithm (FRGA) is applied to carry out the economic operation of the unit in Huanglongtan Hydropower Station. The optimization results are compared with the actual allocation under the determined force in 2013.
【学位授予单位】：中国水利水电科学研究院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TV697.1

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