Study On Short-term Operation Scheduling Of "One-reservoir And Multi-cascade" Hydroelectric Stations

"One-reservoir and multi-cascade" hydroelectric-stations is a common way ofexploitation of hydropower. In this way, there is a main equalizing upstream reservoir,which has considerable capacity and carries out annual and seasonal regulation;andthere are multilevel low dams, and composite or diversion hydroelectric stationsdownward as pairs. This dissertation has carried on research to both the theories andpractical problems on the short-term operation scheduling of " one-reservoir andmulti-cascade "hydroelectric stations, taking Shuoduogang River cascadehydroelectric station in Yunnan Province as an example;analyzed several methods onhow to choose optimization goal , to set up the mathematics model and to apply theseeking optimization algorithm;considered the domestic and overseas mainachievements of optimization operation of the cascade hydroelectric stations;startingwith the model of "single reservoir and inner station", analyzed the characters of units;used genetic algorithms(GA), which has the characteristic on multiple initial valuesand multi-path optimizing;established the optimization method based on GA;considered various kinds of factors synthetically;set up the different goals operationscheduling model of "one-reservoir and multi-cascade" hydroelectric stations whichutilizes non-liner seeking optimization genetic algorithms.In case calculating, after analyzing models of minimum water consumption,maximum hydropower and max income under the different timesharing electric price,A short-term dispatch model that can offer guides to the operation of this cascadereservoir and hydroelectric station is set up. Proved by the model, GA has beenadopted to solve the issue of the allotment of daily charge of the stations as theexpected result. This model can process the overall seeking optimization, which usesthe head pressure, flux and generation of turbine units, and combine the influence ofreaching time of rivers between the hydroelectric stations. The method breaks theroutine thinking of adjustment charge as gradual calculation, and makes a newprogress in optimization dispatches cascade hydroelectric station. Meanwhile, basedon the study of long-term optimization operation of Xiaozhongdian Reservoir inShuoduogang River, this dissertation proposes the tactics of this cascade generatingelectricity and the short-term operation scheduling characters under certain regulationflux. Short-term operation scheduling gets the contrast with long-term as the result ofmaking use of the multi-years average data of long-term dispatch. Regard as theexample result, short-term operation can increase the electric consumption by 3.86%on the basis of long-term dispatch further, which has reached the anticipatedoptimization result. After introducing the different timesharing electric price, whichimproving the suitable mathematics model further, the result has remarkableadjustment, cascade generation in conformity with the tendency of the electricity price,indicates that both this model and genetic algorithms preferably reflect the influenceof electricity price to the cascade stations. Finally, it is recommended that theDecision Supporting System (DSS) of optimization dispatch of cascade hydroelectricstations, and general question of Management Information System (MIS) is outlined.It put forward a DSS and MIS basic frame of short-term operation scheduling of"one-reservoir and multi-cascade" hydroelectric stations based on the case ofShuoduogang River, which can be the future reference of developing DSS and MIS inShuoduogang River.