Chapter 8 - Big data, privacy and security in smart grids

Abstract

The smart grid applications are related with monitoring and control operations of conventional power grid. The integration of information and communication technologies (ICT) to existing power network has leveraged interaction of different generators, controllers, monitoring and measurement devices, and intelligent loads. The two-way communication infrastructure is comprised by numerous sensor networks that increased deployment of massive data from measurement nodes to monitoring centers. Big data is a widespread concept which become a trend for massive data streams that are transferred and processed in an ecosystem. The enormous amount of data are generated, transferred and stored to improve operating and management quality of smart grid. The big data analytics are performed to improve quality of service in terms of grid operators and consumers. The big data acquisition, processing, storing, and clustering stages are widely researched by a wide variety of specialist. In this chapter, the all these stages, big data acquisition technologies, machine learning methods used in big data analytics, privacy and security of big data infrastructure are introduced in detail. The privacy preserving methods, big data processing technologies and firmware infrastructures are presented in the context of this chapter.