Abstract
In modern power system, there are two sets of measurement systems, SCADA system and WAMS system. Both of them have their own advantages, SCADA system has accumulated a wealth of operational experience in long-term operation, while WAMS system can provide more accurate and fast updated measurement data. This paper first gave a brief introduction to the SCADA and the WAMS systems, then summarized the difficulties and corresponding solutions of data fusion between them. Besides, the paper reviewed the state data mining method and three main algorithms of state estimation basing on the fusion of the two systems. It showed that by combining the measurement data features of the two systems, the accuracy of subsequent state data mining was greatly improved. Furthermore, the latest applications of deep learning for the SCADA/WAMS data fusion in power system were also presented in this paper. Finally, both the developments and trends of data fusion in SCADA and WAMS system were predicted.
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