Data Compression Strategies for Use in Advanced Metering Infrastructure Networks

Internet of Things technology has advanced rapidly. For example, numerous sensors can be deployed in a city to collect a variety of data, and such data can be used to monitor the city’s situation. A possible application of such data is smart metering implemented by power suppliers for their consumers; smart metering involves installing a multiplicity of smart meters that, in conjunction with data centers, form a smart grid. Because a smart gird must collect and send data automatically, the establishment of advanced metering infrastructure (AMI) constitutes the primary step to establishing a smart grid. However, problems remain in smart metering: data traffic from smart meters flows rapidly at a huge volume, resulting in bandwidth bottlenecks. Thus, this chapter proposes some data compression technologies as well as a novel scheme for reducing the communication data load in AMI architectures.

Cyber-Infrastructure Connections and Smart Gird Security

The architecture of the smart grid combines the communication grid and physical power grid in a sole huge network. Smart grid has various security threats like cyber-attacks, physical attacks or natural disasters. The mentioned threats can lead to the breach of the user’s privacy, failure of the infrastructure, energy theft, blackouts endanger the safety of the operators among many more. For this reason, there is need to ensure that the smart grid cyber security is adequate to prevent any of these threats. Adequate security will as well ensure that the smart grid operates adequately as it is viewed that is by providing safe, reliable and uninterrupted supply of power to the consumers with a regular flow of end to end information that are all secure. The smart grid environment will ensure that the electric power infrastructure is modern. This is majorly by combining the present functionalities and the future ones with the upgraded requirements to the users

Random Violation Risk Degree Based Service Channel Routing Mechanism in Smart Grid

Smart gird, integrated power network with communication network, has brought an innovation of traditional power for future green energy. Optical fiber technology and synchronous digital hierarchy (SDH) technology is widely used in smart grid communication transmission network. It is a challenge to reduce impact of the availability of smart grid communication services caused by random failures and random time to repair. Firstly, we create a service channel violation risk degree (SCVRD) model to precisely track the violation risk change of communication service channel. It is denoted by the probability of service channel cumulative failure duration exceeding the prescribed duration. Secondly, a service channel violation risk degree routing mechanism is proposed to improve the availability of communication service. At last, the simulation is implemented with MATLAB and network data in one province are used as data instance. The simulation results show that the average service channel failure rate of availability-aware routing based on statistics (AAR-OS) algorithm and risk-aware provisioning algorithm are reduced by 15% and 6%, respectively.