A Survey on 5G Network Slicing Enabling the Smart Grid In recent years, the State Grid Corporation of China (SGCC) has been building a strong smart grid to improve the security level of the power grid. By implementing the Internet strategy, the SGCC comprehensively improves the informatization and intelligence of the power grid and fully utilizes modern information communication technologies and control technologies. Network slicing is not only a technology but also a new business model, which has attracted broad interest of researchers. Base on above background, in this paper, several typical user cases for smart grid are introduced firstly. In addition, we present the E2E business models and steps to implement network slicing for operators. Besides, the Total Cost of Ownership (TCO) and Return on Investment (ROI) of Network Slicing are also analyzed in Smart Grids for Operators

Leveraging Mobile Edge Computing on Smart Grids Using LTE Cellular Networks Given the advance of the Smart Grid technology, the electrical grid is now in a process of transformation never seen in history. This new grid model allows customers and providers to generate and manage electrical power efficiently. To support such transformation, a key element of the model is the communication network responsible for delivering measurement data from sensors on the grid to the applications that analyze and adapt distribution according to demands. This work proposes and evaluates a system architecture that copes with reliability and latency demands that are of much importance for a successful Smart Grid deployment, also considering the internal design of distributed applications in the context of Smart Grids. The architecture adopts a Mobile Edge Computing based infrastructure that is suitable for 4G and 5G mobile cellular networks. Experiments made on NS3 shows that the proposed system architecture is capable of handling a realistic number of smart meters while providing low latency and network reliability, supporting many use cases of a Smart Grid deployment.