Study Of Optimized Operation Of The Cascade Power Stations In The Upper Hanjiang River Based On Electricity Market

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.