Real-time Data-sharing Techniques for Shanghai Advanced Energy Management System

The advanced energy management system(AEMS) is a new-type automatic system for performing multi-objective,near-optimal and closed-loop control of electric power grids.The data-sharing platform(DSP) is the fundamental platform of AEMS that provides data sharing service.The structure of DSP is proposed,and distribution memory cached technique is described.This technique uses string "key-value" mapping to store shared data in distribution memories,which makes things simple,open and efficient.Finally,serialization techniques for the common information model(CIM) data and results of state estimation are proposed.CIM data is compressed before transfer to network which makes data interchange more efficient.The effectiveness of the techniques of data sharing proposed is proved by test results and application.