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Improvement Of Artificial Bee Colony Algorithm And Its Application In Reservoir Optimal Operation

Posted on:2020-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:H H XieFull Text:PDF
GTID:2382330596459246Subject:Power Engineering
Abstract/Summary:PDF Full Text Request
As a kind of clean energy,hydro-power has many advantages,such as low pollution,low cost of power generation and high capacity of peak and frequency modulation.As the carrier of hydro-power,hydro-power station is widely developed and put into use.It is one of the main problems in hydro-power industry at present that how to adjust the operation of hydro-power station reasonably to achieve the best comprehensive benefit.This paper takes the Three Gorges-Gezhouba cascade hydro-power station as the research object,takes(improved)ABC(artificial bee colony)algorithm as the optimization tool,and carries out the long-term optimal operation research of the Three Gorges-Gezhouba cascade hydro-power station in non-flood season according to the hydro-logical data of past years.The main works of this paper are as follows:(1)The ABC algorithm model of the Three Gorges-Gezhouba cascade hydro-power station is established.According to the basic principle of the artificial bee colony algorithm,the optimal operation model with the maximum annual power generation in non-flood season is established by taking the initial water level of each ten days as the decision variable and satisfying the operation conditions and hydraulic constraints.(2)A new improved artificial bee colony algorithm is proposed,The new algorithm establishes the sinusoidal selection probability model based on the current optimal source,the worst source and the current source of honey,and combines the global optimal guidance strategy.The probability model takes the difference between the optimal and the worst adaptation values as the scale to measure the proportion of the current function values of the honey source,and then the proportion values are substituted into the sin function to obtain the selection probability values of the current honey source.(3)Dimension difference strategy(SDD)is proposed,which improves the traditional random dimension selection method to depend on the dimension difference in order to improve the search efficiency and precision.On this basis,three improved artificial bee colony algorithms(SDD_ABC,SDD_CABC,SDD_ABC_elite)are constructed based on dimension difference.In the process of exploring new honey sources,each bee chooses the dimension through roulette strategy,and the probability of being selected is proportional to the difference probability of the dimension.(4)Improved artificial bee colony algorithm,weighted center artificial bee colony algorithm(WCABC),is constructed.The new algorithm gives a certain weight to the honey source according to its fitness value,and then constructs a virtual honey source,that is,the weighting center.In the Onlookerbees stage,the weighted center is used to guide the update,and the full-dimensional update is used to accelerate the convergence speed and enhance the local search ability.Finally,pro_stra_ABC,SDD_ABC_elite and WCABC algorithms are used to solvethe non-flood season optimal operation model of the Three Gorges-Gezhouba cascade hydro-power station,and good results are obtained.
Keywords/Search Tags:Cascade Hydro-power Station, Optimal Operation, Artificial Bee Colony Algorithm, Probability model, Dimensional Difference, Weighting Center
PDF Full Text Request
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