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Assistant Decision-making System For Power Safety Evaluation

Posted on:2012-09-29Degree:MasterType:Thesis
Country:ChinaCandidate:Z ChengFull Text:PDF
GTID:2132330335953120Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Safety evaluation is a modern management tools and an important part of business management.The power system safety evaluation,which aims to lay a basis solid for power system security.Safety evaluation to grid operation and production environment conducive to realize the ahead prediction and control on grid accidents,reduce and eliminate accidents and ensure the safety operation of power system.Currently,the safety evaluation has been widely used in power systems,and have achieved good results.But there are still many deficiencies:first,The results of assessment data has not been sufficient analysis and management;power system assessment in an investigation after the data were only simple processing,did not do in-depth analysis and research.The second,safety evaluation is not combine with the"dangerous points analysis".Safety evaluation is mainly used for a macro risk assessment for an enterprise in terms of overall situation,while dangerous points analysis is applied for micro partial assessment on working site and position.Both methods have their own characteristics which are complementary and cannot be replaced by each other and thus should be taken together according to realistic.In response to these problems,we designed an Assistant Decision-making System for Power Safety Evaluation,the system using data warehouse and data mining techniques:safety evaluation of self-examination and assessment by analyzing and compiling into the data warehouse,though the data warehouse,users can query the information they want,and displayed through an intuitive map;The core of the tool of data mining is judging the dangerous points that may affect power network security by using association rules based on Apriori algorithm.We can find out the dangerous pionts and the various affecting factors that might exist in power system by mining the data of warehouse on the basis of data mining technology.Managers can enhance the management of this project from dangerous points,and guide decision-makers to eliminate the dangerous points.The Assistant Decision-making System which analyzes on the electric power system by using the macro evaluation and micro evaluation together will certainly has positive effects on the safety of the system.
Keywords/Search Tags:safy evaluation, data warehouse, data mining, Apriori algorithm, assistant decision-making
PDF Full Text Request
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