Abstract
The volume of data production is increased in smart power system by growing smart meters. Such data is applied for control, operation and protection objectives of power networks. Power companies can attain high indexes of efficiency, reliability and sustainability of the smart grid by appropriate management of such data. Therefore, the smart grids can be assumed as a big data challenge, which needs advanced information techniques to meet massive amounts of data and their analytics. This chapter investigates the utilization of huge data sets in power system operation, control, and protection, which are difficult to process with traditional database tools and often are known as big data. In addition, this paper covers two aspects of applying smart grid data sets, which include feature extraction, and system integration for power system applications. The application of big data methodology, which is analyzed in this study, can be classified to corrective, predictive, distributed, and adaptive approaches.
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Madadi, S., Nazari-Heris, M., Mohammadi-Ivatloo, B., Tohidi, S. (2018). Application of Big Data Analysis to Operation of Smart Power Systems. In: Roy, S., Samui, P., Deo, R., Ntalampiras, S. (eds) Big Data in Engineering Applications. Studies in Big Data, vol 44. Springer, Singapore. https://doi.org/10.1007/978-981-10-8476-8_17
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DOI: https://doi.org/10.1007/978-981-10-8476-8_17
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