A Multi-database Hybrid Storage Method for Big Data of Power Dispatching and Control

Abstract

At present, the service scale of the power grid dispatching and control system is rapidly expanding and the multi-level power grid dispatching and control services possess features, including a wide variety of data and scattered storage. In order to manage the data of power grid more efficiently and meet the more efficient, flexible and accurate information acquisition requirements of multi-type users, we apply intelligent search technology to multi-level power grid dispatching and control system.. Facing with the drawbacks of single database in storage and search of massive data, including model data historical data and real-time data, a multi database hybrid storage based intelligent search method and service has been proposed to unified management and application service for multiple types of power dispatching and control big data. On this basis, performance of collection, storage, search, utilization and display of dispatching and control big data for different services has been able to be enhanced.