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Applications Of Multiple Objective Optimizing Methods To The Operation Of Hydro-generating Units

Posted on:2009-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:W L LvFull Text:PDF
GTID:2132360248956559Subject:Water Resources and Hydropower Engineering
Abstract/Summary:PDF Full Text Request
The water resource is one of renewable and clean resources. The theoretical hydro energy of our country rivers is about 6.76×10~7MW, making the top in the world. Using hydro energy to generate power is generally considered as one of economic energy converting ways. Compared to thermal power generation and nuclear power generation, it has merits of low cost, easy to administrate, enabling fast, low pollution, peak modulation and frequency modulation. its function in peak modulation and frequency modulation and its frequently variated load of hydroelectricity generation, determine it is necessary to study its transition, stability and economy. The paper concerns on the problems in units real operation, apply the multi-object optimizing method in the problems and get satisfactory results. The main contents of the paper are:(1) Focused on the basic theories of multiple objective method and genetic algorithm;(2) Describe the feasibility of multiple objective method in the operation of hydro-generating units.(3) Based on the testing data of Huangbizhuang Kaplan turbine, using multiple objective optimizing methods, the paper optimizes the combination relationship in the consideration of both energy characteristic and hydraulic vibration.(4) Apply multiple objective method in load distribution of the units. The chapter, on the base of hierarchic genetic algorithms, optimizes the units' load distribution of Wanjiazhai power station in the principle of mini consumption flow, considering the pressure fluctuation in draft tube at the same time.(5) Apply multiple objective method in the optimization of specific coeffitions of tow stage closing law of guide vane, adjust the contradiction effectively of the arising of the rotational speed and the dynamic pressure in the spiral case.This method to get the best operation condition of Kaplan turbine considering many characteristics of turbine, provides a new way to improve high efficient and steady operation of turbine.
Keywords/Search Tags:multi-objective optimization, combination relationship, economic operation, genetic algorithm
PDF Full Text Request
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