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Calculation Of Tide Power Stations Management And Building Of The Management Software

Posted on:2005-03-13Degree:MasterType:Thesis
Country:ChinaCandidate:J RuiFull Text:PDF
GTID:2132360122975189Subject:Water Resources and Hydropower Engineering
Abstract/Summary:PDF Full Text Request
Along with the world's power and environment becoming more and more serious, tide power, as a clean and dependable power, has attracted all the world's caution. All the countries try their best to develop tide-power stations, using tide power to generate electricity. Therefore, it is very necessary to carry out optimal regulation research of tide- power stations.This paper firstly introduces the phylogeny and actuality of tide-power stations; the development style of them; and then, establishes the mathematics model of optimal regulation of tide-power stations; narrates how to use EQ, dynamic programming, genetic algorithm to solve the problem of optimal regulation of tide-power stations individually; makes comparison of three kinds of methods, pointing out the excellence and weakness of each method; discusses some particular problems of tide-power stations, differing from normal water power stations.Besides, this paper uses VB to develop an optimal regulation software which can be used in all tide-power stations. Good interface makes it more easy to use and spread. The software has used dynamic programming which is skilled. It can process unlimited short term economic dispatch under the conditions of all the machines' fix time is planed beforehand. All parameters can be modified by the user to process the calculation more exactly.At last, this paper proceeds the calculation of Jiang Xia tide-power station. The result shows that optimal regulation of tide-power stations can improve above 9% of the electricity. All these show that it is very meaning and necessary to carry out optimal regulation of tide-power stations.
Keywords/Search Tags:tide-power station, optimal regulation, Dynamic Programming, Genetic Algorithm, VB
PDF Full Text Request
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