Abstract

A smart grid is an intelligent electricity grid that optimizes the generation, distribution and consumption of electricity through the introduction of Information and Communication Technologies on the electricity grid. In essence, smart grids bring profound changes in the information systems that drive them: new information flows coming from the electricity grid, new players such as decentralized producers of renewable energies, new uses such as electric vehicles and connected houses and new communicating equipments such as smart meters, sensors and remote control points. All this will cause a deluge of data that the energy companies will have to face. Big Data technologies offers suitable solutions for utilities, but the decision about which Big Data technology to use is critical. In this paper, we provide an overview of data management for smart grids, summarise the added value of Big Data technologies for this kind of data, and discuss the technical requirements, the tools and the main steps to implement Big Data solutions in the smart grid context.

Highlights

  • The electricity consumption has changed in practice and in nature

  • The electrical system must evolve towards greater reliability, efficiency and flexibility in order to better take into account the development of new uses and to preserve the balance between consumption and production in a changing energy landscape

  • Smart grids become a real solution to these concerns, by introducing Information and Communication Technologies (ICT) into electricity grids and integrating efficiently the actions of all users in order to guarantee a sustainable, safe and cost-effective supply of electricity

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Summary

Background

The electricity consumption has changed in practice and in nature. The electricity uses are evolving: positive energy buildings, electric mobility, variable intensity urban lighting, storage batteries, etc. Power generation is the first step in smart grid value chain, it includes power sources such as nuclear, hydropower and renewable and it relays on wide area monitoring and control technologies to communicate with the step called power distribution This later, is based on a proximity network that connects consumers with the electricity grid and transmits data using advanced metering infrastructure. Demand response management system The Demand Response Management System (DRMS) gives the utilities the ability to create automated, integrated, and flexible platforms to manage demand response solutions in an efficient and smart manner This system brings a great number of benefits such as reduce energy costs, improve stability and security and ensure satisfaction for customers and regulatory requirements for demand-side. These models can be offered in public, private, or hybrid manner: (1) software as a service (SaaS) which provides applications and make them available to customers over the Internet, (2) platform as a service (PaaS) delivers hardware and software tools and gives customers the ability to create their own applications, (3) infrastructure as a service (IaaS) offers hardware, software, servers, and

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Conclusion

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