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Research And Development Of Paying Electric-rate Grade Evaluation And Risk Advance Warning Management System

Posted on:2006-09-18Degree:MasterType:Thesis
Country:ChinaCandidate:L F GuFull Text:PDF
GTID:2132360155962037Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
At present, electric client behaviors such as defaulting electric-rate, violating the rules of using electricity and stealing electricity are serious in our country and have been caused large attention in related departments. Urgent problems in front of us are how to adopt scientific managing method and Hi-Tech ways to solve troubles, how to effectively reduce the business risk of power company, how to protect enterprise's legitimate interests and pave the way for sustainable development of the local electrical market.This paper uses the rules of bank credit grade appraisal for reference, combines Utilities Electric Co. historical electric-rate income records with actual conditions of customers, and then works out an effectual customer paying electric-rate credit and risk rank appraisal mode and classified management method and offers a kind of customer's credit appraisal system and the manipulative method of predicting the risk of arrears and the means of detecting of unusual behaviors of using electricity which accords with the international standard. Contacts the means of credit analyse with the investigating and managements of stealing electricity behaviors in order to strengthen the supervision and management on customer of paying the electric-rate, and promotes sound developmental relations between the power supply enterprise and customers, and offers the basis of electric-rate gathering measures and exploiting market, and takes precautions against the bad account risk of the electric-rate.This system adopts Windows2000 with XML Information Hub 3.3 Server database as the developing platform and Visual Basic 6.0 as the developing instrument. It is correlated with the data of grading according to the customer, relies on advanced appraisal analyse models, to rank electrical fee credit for customers and establish electrical fee risk advance warning mechanism. Finally, according to appraise result, classification management measure is proposed to promote electrical fee recycling and the step protects the risk of arrears and stealing electricity behaviors, for guarantying power generation enterprises to fully cash their management products。 Furthermore, the system has used advanced RSA encryption algorithm which not only guarantees on-line evaluation security, but also grants different users' operation jurisdiction according to their responsibility, therefore ensures appraisal result fair and accurate.The customers paying electric-rate grade evaluation and the research of the risk...
Keywords/Search Tags:credit grade appraisal, arrears risk advance warning, unusual using electricity behaviors detected, risk advance warning management
PDF Full Text Request
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