智能电网广域测量数据融合算法研究

Design of Line Loss Intelligent Analysis Platform Based on Multi-source Data Complementation Technology

针对WAMS海量数据问题,该文以同步相量测量单元(PMU)为基础,提出了4类网内数据融合算法。构建了高速网络层、中间件-服务层、数据融合物理层和高级应用层的体系结构,提出了智能电网广域测量数据融合系统。以电压稳定性监测指标(VSI)为例,设计了适用于该应用的数据融合算法,并对网内数据融合算法进行了仿真验证。结果表明在不影响VSI计算准确性的同时,提出的4种算法均能降低信息开销,实现50%~60%数据传输量的减少,有效提高了网络传输效率。

Based on the massive data of WAMS,based on the synchronous phasor measurement unit(PMU),four types of intra-network data fusion algorithms are proposed,including high-speed network layer,middleware-service layer,data fusion physical layer and advanced application layer. The architecture proposes a smart grid wide-area measurement data fusion system. Taking the voltage stability monitoring index(VSI) as an example,the data fusion algorithm suitable for this application is designed,and the data fusion algorithm in the network is simulated and verified. The results show that the VSI calculation is not affected. At the same time of accuracy,the proposed four algorithms can reduce the information overhead,reduce the data transmission by 50%~60%,effectively improve the network transmission efficiency.