Researeh On Key Issues In Power Quality Data Center Construction

Problems exposed by the power quality monitoring in recent years have been paid more and more attention,mainly as the monitoring equitments and analysis tools of different manufacturers have different features and are not compatible with each other.Besides,the data source type of what a monitoring system supporting is very limited,generally a single,which is not conducive to information sharing and application integration between the various applications within the electric power company and amony different companies.In order to change the situation of this information silos,and realize the unified management and analysis of large amounts of data (such as a province-wide data),realize multi-level data sharing,it is necessary to establish the power quality data center to support multiple data sources.This topic conducted in-depth study of the key issues encountered in the power quality data center construction,and gave a viable solution to solve the issues.There are three kinds of physical architecture,centralized,distributed and hybrid.The project implimented the object modeling and design of the table structure for the underlying database and analysis database in the data center.Both automatic and manual data collection,based on multi-threaded FTP technology to improve the collecition efficiency and flexibility.PQDIF file parsing,makes PQDIF resolves to work out of the dependence on PQView system.The application of the Zlib compression algorithm to achieve efficient compression and storage of a large number of basic data,saving a lot of storage space.In order to deal with vast amounts of data for power quality monitoring,database partition,the caching and indexing mechnanism were applied, and passing a test.The establishment of the power quality data center to support multiple data sources solved the problem of power quality monitoring information silos to achieve a multi-level data sharing and application integration, and provides data protection for the realization of the in-depth analysis of power quality data and advanced applications.