Abstract

Real-time conditional monitoring and instinctive fault diagnosis plays an important role in the smart grid systems. Conventional data storage and management systems are facing the difficulties with the disseminated, heterogeneous and large volume of data. Conventional data management infrastructure utilizes centralized approach which comprises of large-scale server, disk array data storage hardware and relational database management system (RDBMS) for database services. This type of infrastructure may result in poor performance to support the requirement of smart grid applications for very large database with high data request rates at very low latency. Precise, fast, vulnerable and cooperative information system is the basis requirement for the smart grid applications. In this paper, we proposed a distributed data storage and management platform which guarantees high scalability and reliability data storage and management with the huge amount of information in the smart grid application. In order to evaluate and validate our scalable cloud-based data storage platform for smart grid, we deployed our proposed infrastructure in our cyber-physical test-bed which is a facility to test innovative technologies for building efficiency and urban sustainability.

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