Research And Development Of Power Customer Outage Risk Management System Based On Data Mining

The current reform of electricity market has taken substantial steps,the traditional model of unified purchase and sale,exclusive sale of electricity by power grid enterprise is changed.The release of electricity sales side and incremental distribution market will bring unprecedented pressure of market competition.For power supply enterprises,it is an important measure to improve the quality of service and to seize the power market to strengthen outage management and to improve power supply reliability.After several years of construction,the SG186 system for power marketing promotes the effective integration of business flow and information flow,and accumulated a large number of business data.With the development of data mining technology,power customer outage risk management based on data analysis become possible.In this dissertation,aiming at the problem of power customer outage risk management,the risk assessment model of power customer outage is constructed according to the theory of risk management and using the data mining technology.On the basis of it,the design and implementation of power customer outage risk management system are completed.In order to research and develop the system of power customer outage risk management,the basic theories,methods and algorithms are compared and studied and the core technology of system design,development and implementation is solved.This dissertation focuses on the construction of power customer outage risk assessment model.The related factors of risk assessment is finded based on the theory of risk identification.And the sample data is collected and sorted out.Using the attribute reduction,the key factors of risk assessment is identified.The weights of the key factors of risk assessment are calculated according to the theory of attribute importance and comprehensive weighting algorithm.Thus power customer outage risk assessment model is put forward.Based on the waterfall model of software engineering theory and using software design tools,realize the risk assessment model and the risk assessment of power outage.According to the analysis of the electric power customer outage risk management requirements,completed the design and implementation of customer information management module,power outage information management module,power outages and business support platform module.This dissertation puts forward the construction method of power customer outage risk assessment model based on data mining and complete the construction of assessment model.The risk assessment results can be used to guide the power supply enterprises to develop differentiated service strategies,so as to provide customers with better service.The research and development of power customer outage risk management system based on data mining provides a new analysis method and research ideas for power outage risk management.It has played a positive role in guiding the development of power supply enterprise in power outage plan making,fault repair,protection of customer electricity and so on.It also has referential significance for power customer outage risk management of similar enterprises.