Identification of intelligent substation multi-source data based on extended SCD panoramic model

Analyzing and dealing with massive data in time to provide proper and reliable data for advanced applications of substation is one of the main tasks of intelligent substation. This paper introduced the quality identify of multi-source data in detail based on the panoramic SCD model which intergrated the SSD model. According to this SSD model, Remote measure and communication and data identify have been realized through extracting topology and substation's primary equipment's data. Three phase voltage and current have been identified, balance level of single point such as transformer, bus ,switch and three phasor unbalanced degree have been judged by multi-sources in this thesis. The data identify method is valid and superior due to the correlation to the secondary equipment and the special PMU data transmission mode.