【作者】 孙晓懿；

【导师】 黄强；

【作者基本信息】 西安理工大学 ， 水文学及水资源， 2008， 硕士

【摘要】 本论文根据汉江上游梯级的实际情况,对汉江上游已建成的石泉、喜河、安康梯级水电站水库群在电力市场环境下的长期发电优化调度问题进行了研究。在分析了汉江上游径流规律以及电力市场相关内容的基础上,根据该梯级水电站水库群的主要任务及梯级水电站之间的水力联系,建立不同的优化模型并选取优化算法进行求解,对计算结果进行了对比分析;以各水电站发电量统计特征为依据,拟定了梯级各水电站的年度期货电量,并将拟定的期货电量进行了年内分解。论文取得的主要研究成果如下:(1)对汉江上游1954～1998年44年长系列径流资料进行统计,分析了径流的年内分配、年际变化、代际变化、丰枯变化;采用谱分析方法和坎德尔秩次相关检验分别对径流资料的周期性和趋势性进行了分析。结果表明:汉江上游径流年内、年际分配不均,丰枯差别大,各月均有出现小流量的几率,径流总体呈下降趋势。(2)根据汉江上游梯级水电站水库群的主要任务以及电力市场中电价因素的影响,建立梯级发电量最大模型和梯级发电效益最大模型,采用逐次逼近动态规划法(DPSA)与逐步优化算法(POA)相结合的混合算法分别求解梯级发电量最大模型和梯级发电效益最大模型。(3)基于汉江上游径流规律分析结果,划分丰水期为7～9月、枯水期为12～3月、其余月份为平水期,分别选取不同的电价水平,根据不同的丰水期电价下调比例方案进行以梯级发电效益最大为目标的长期优化调度计算,统计各方案的丰、枯电量之比,拟定电价水平取0.2元/kW·h,丰水期电价下调30%,枯水期电价上浮90%。(4)对比梯级发电量最大模型与梯级发电效益最大模型的计算结果,得出结论:通过优化,可以增加梯级及其各级水电站的发电量,减少各水电站的弃水量,提高水资源的利用率;采用丰、枯季节电价的梯级发电效益最大模型计算得到的多年平均发电量虽然少于梯级发电量最大模型的计算结果,但其发电效益大于梯级发电量最大模型的发电效益;由于考虑了丰、枯季节电价的影响,梯级及其各级水电站增发了枯水期电量,减少了丰水期发电量,其多年平均发电收益的组成结构发生了较大变化,枯水期的发电收益占全年发电收益的比例有了明显提高。(5)在汉江上游梯级水电站水库群长期发电优化调度的基础上,统计梯级各水电站的年、月发电量特征,制定不同的期货电量划分方案,并对各方案期货电量所占不同典型年发电量的比例进行计算;通过对比分析,拟定石泉、喜河、安康水电站的年度期货电量分别取其各自多年平均发电量的45%,该方案完成期货合约的保证率较高。(6)按照各水电站各月的可靠电量,将拟定各水电站的年度期货合约电量进行年内分解,分解到各月;石泉、喜河、安康的各月分解电量保证率分别为85%、85%、95%,表明绝大部分来水频率的年份能够完成期货合约。更多还原

【Abstract】 According to the actual situation, the problem of long-term optimized operation in the electricity market is studied by taking the cascade power stations in the higher reaches of the Hanjiang River as researching objects. After analyzing runoff regularity of the upper Hanjiang River and the relevant content of the electricity market, two optimal models are built and solved by optimal algorithms on the basis of the cascade power stations main task and hydraulic interaction among the stations. By comparatively analyzing the results and making statistics on energy output characteristics, annual future contract energy of each station is determined and distributed to each month within a year. The major work of this dissertation is outlined as follows:(1)After making statistics on the long-term runoff data of the upper Hanjiang River from 1954 to 1998, annual distribution, annual variation, intergenerational variation and high - low water change of runoff are analyzed. Spectral analysis and Kendall rank correlation coefficient test are adopted to analyze the periodicity and tendency of runoff data. The results show that the annual distribution and annual variation of runoff are uneven, and there is much difference between high and low, and small flow may appear in each month within a year, and the tendency of runoff is reduction.(2)On the foundation of the main task of this cascade power stations and the influence of tariff, two models of maximizing energy output and maximizing energy benefit are respectively established, and DPSA and POA are combined to solve the models.(3)Based on the analysis on runoff regularity of the upper Hanjiang River, one year is divided into 3 parts: wet season is from July to September, and dry season is December and from January to March, and the rest is normal season. The maximizing energy benefit model is solved based on the plans of different general tariff and different downward scales of wet season tariff. By making statistics on the ratios of energy output in the wet season to energy output in the dry season of calculation results, the plan is established, which general tariff is 0.2 Yuan per kilo-watt-hour, and downward scales of wet season tariff is thirty percent, and upward scales of dry season tariff is ninety percent.(4)Comparing the calculation results of two models, it shows that energy output increases and abandoned water decreases by optimized operation. The average annual energy output calculated by maximizing energy benefit model is less than that calculated by maximizing energy output model, but the average annual energy benefit calculated by maximizing energy benefit model is more. As the result of the wet-dry seasonal tariff, energy output in dry season increases and that in wet season decreases. The structure of energy output component has pronounced changed and energy benefit in dry season account for an increasing proportion of annual energy benefit.(5)According to the calculation results of long-term optimized operation and energy output statistics characteristics, plans of future contract energy are made. By comparing the proportion that future contract energy account for of annual energy output in different typical years, the future contract energy of each station account for forty-five percent of average annual energy output of each station. This plan has higher guaranteed efficiency.(6)Future contract energy is distributed to each month within a year on the basis of reliable energy output in each month. The guaranteed efficiencies of Shiquan, Xihe and Ankang stations are eighty-five percent, eighty-five percent and ninety-five percent, which show that the future contract will be fulfilled in most of years.更多还原