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Support Vector Machine Loss Calculation And Electricity Information Integration System Design

Posted on:2012-01-03Degree:MasterType:Thesis
Country:ChinaCandidate:Q WangFull Text:PDF
GTID:2232330374989339Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the deepening of the smart grid construction, electricity for power users real-time data collection of information, integrity and reliability of the higher requirements, establish a uniform standard, information is complete and comprehensive real-time electricity information and strong integrated power system has become an urgent need to study and solve business issues.The topic for the entire power system measurement point range and route involves the calculation of line losses and high data integrity requirements, according to a source line loss make small sample statistical estimates and projections learning ideas, select six variable parameters as a distribution network features, to build support vector machine based forecasting model line losses。The regression model is able to accurately estimate the line loss, to avoid the shortcomings of traditional regression algorithm can effectively solve the power system operation in the traditional line loss problem of the existence of missing data, greatly improving the power system data reliability information integration.The issue in the foreign power load management system, meter reading system and other power users a comprehensive analysis of the data acquisition system based on the comparison, the design of the integrated energy information system. The system is a J2EE development platform, using hierarchical design models, and developed a marketing system interface, data centers and other appropriate system interface. Completion of the special variable, public change, power plants, electricity substations and other power users of data integration, implementation and marketing system and other systems interact with the full data.
Keywords/Search Tags:Power Information, Line Loss, Line-lossCalculation, SVM(Support Vector Machines)
PDF Full Text Request
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