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 stringkey-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.
Distribution Network Restoration Decision Considering Risk of State Estimation Error in Restoration Process
Time-varying Virtual Inertia and State Estimation of Grid-following Converter Based on Maximum Correntropy Criterion and Polynomial Chaos Kalman Filter
Forecasting-aided State Estimation for Distribution Networks Based on Event-triggering Encryption
Related Author
ZHU Kaiyu
LIN Jikeng
HAO Lili
KAN Yizhou
XUE Yusheng
XUE Feng
WANG Yuhong
WANG Xueke
Related Institution
College of Electronics and Information Engineering, Tongji University
College of Electrical Engineering & Control Science, Nanjing Tech University
State Grid Electric Power Research Institute (NARI Group Corporation)
School of Electrical Engineering, Sichuan University