Fast Estimation of Power Grid Operation State Based on Multi-source Data
Zhen Yuan, Junnan Chen, Yan Minghui, Xiaotong Xu · 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) · 2022
The rapid change and uncertainty of power grid operation state put-forward higher requirements for the basic data of online calculation. A fast estimation method of grid operation state based on multi-source data is proposed. Based on the different characteristics of multi-source heterogeneous data, a unified data storage method is established to realize efficient storage and access of different data sources. A self-check and correction method of PMU and RTU based on historical measurement error is proposed to reduce the influence of abnormal data on data integration accuracy. A multi-source data fusion method is utilized to realize the rapid generation of sectional-power flow and topological information at the current moment. The correctness and feasibility of the proposed method are verified based on the actual power grid.