作者: Phani Harsha Gadde , Milan Biswal , Sukumar Brahma , Huiping Cao
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摘要: Widespread placement and high data sampling rate of current generation phasor measurement units (PMUs) in wide area monitoring systems result huge amount to be analyzed stored, making efficient storage such a priority. This paper presents generalized compression technique that utilizes the inherent correlation within PMU by exploiting both spatial temporal redundancies. A two stage algorithm is proposed using principal component analysis first discrete cosine transform second. Since parameters need adjusted compress critical disturbance information with fidelity, an automated but simple statistical change detection identify data. Extensive verifications are performed field data, as well simulated establish generality superior performance method.