Analysis And Application Of The County’s Electricity Power Production Business Operations Data

With the progress of social development, technology, power system slowly from traditional systems management to intelligence analysis system, slowly toward the artificial intelligence. So follow the trend of smart grid generated by combining the power system and computer technology to achieve some decisions based on data mining to obtain relevant information, making the power system more ’intelligent’ for policy-makers to work. Power production business operations integration platform is a product of this premise. Through the establishment of the county power production business operations integration platform that integrates various business information systems, data and build a unified information platform, integrated information system covers distribution operations and customer service, you can effectively break the information silos within the enterprise, to accelerate the flow of information to ensure that the various functional units of the exchange of information open. Meanwhile, manufacturers of the pilot, also explore the integration platform in county power enterprises to promote the implementation of the model. Lay the foundation for an integrated platform for the follow-up of products, market-oriented.According to policy of the “sanjiwuda" system construction requirements, place like city or county adoption centralized management model, the company is mainly responsible for the county county customer service, 35 k V and below the grid control, as well as relevant territorial distribution Business with the work. Integration of production operations to establish the county platform that integrates various business information systems, data and build a unified information platform, integrated information platform covers distribution operations and customer service. This paper is mainly based on data of the power system collected data analysis, content belongs to the system of advanced applications section. Several modules analyze the contents of the paper include power systems: line loss, load, failure, communications, equipment, lines, etc. Where the line losses and load algorithm uses a two-part analysis, part of the line loss for association rules to find the property with a value corresponding to the range of instantaneous values of the interval associated with line losses; analysis of the contents of the load was observed historical data load statistics, They identify potential law, obtained on its probability density distribution to predict the day and the highest peak loads. In addition to line losses, load two duties paper also some other power system data to do a simple statistical analysis, for the further development of the project to make a base lay.