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- W2354464224 abstract "On the basis of analyzing data differences between wide area measurement system(WAMS) and supervisory control and data acquisition(SCADA),an optimal configuration scheme of PMU,which is based on data compatibility and improved fuzzy C-means(FCM) clustering algorithm,is proposed to solve the optimal configuration point for phasor measurement unit(PMU) during the hybrid measurement by WAMS and SCADA,which is currently widely applied in state estimation. Utilizing the idea of big data mining and using improved FCM clustering algorithm the SCADA data is partitioned according to the relevancy,and inside the partitions PMUs are configured at the node with maximum observability,within all partitions the same optimal smoothing factor of the PMU node is used for Vondrak interpolation to obtain the data satisfying the compatibility to applied in the state estimation of the hybrid model. Relative to the PMU configuration scheme only considering observability,using the proposed scheme not only the WAMS/SCADA data can be effectively compatible to improve the estimation accuracy,but also the state estimation using hybrid measurement can effectively control the estimation error during the rapid variation of system load. The effectiveness of the proposed optimal PMU configuration scheme is validated by simulation results of daily load variation in IEEE 39-bus system." @default.
- W2354464224 created "2016-06-24" @default.
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- W2354464224 date "2014-01-01" @default.
- W2354464224 modified "2023-09-23" @default.
- W2354464224 title "Optimal Configuration of PMU Based on Data Compatibility of WAMS/SCADA and Improved FCM Clustering Algorithm" @default.
- W2354464224 hasPublicationYear "2014" @default.
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