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@article{153319,
        author = {Mahesh Yenagimath and Shekhappa G. Ankaliki},
        title = {Lossless Compression of Synchrophasor Data in Wide Area Monitoring (WAM) of Power System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {6},
        pages = {404-409},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153319},
        abstract = {Indian Power System is spreading at a fast pace to meet the growing requirement. This widely spreading grid has also increased the complexity towards monitoring and control. Deployment of Phasor Measurement Units (PMU) in Indian power system has brought a new data stream to be processed and which has also created an opportunity to improve situational awareness on the grid. This high-rate data collection helps to minimize widespread outages. The placement of Phasor Measurement Units (PMUs) in Wide Area Monitoring Systems (WAMS) results huge amount of data to be analyzed and stored, making efficient storage of such data a priority. Hence it is necessary to use a compression technique that mitigates the increased storage requirements of synchrophasor data. This paper presents a lossless compression technique that utilizes the inherent correlation within PMU data with reasonable accuracy and within limited resource of memory.},
        keywords = {Synchrophasor, WAMS, Smart Frid},
        month = {},
        }