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Smart Grid (SG) enlarges the traditional power grid into a new dimension where millions of electronic devices relate to each other through Advanced Metering Infrastructures (AMI) network using information and communication technology (ICT). The integration of ICT to the traditional power grid opens the path for the adversaries to invade through various cyber-attacks. Resource constrained electronic devices connected in AMI with the SG claims for faster, low power, less processing time and overall lightweight security schemes to prevent the cyber-attacks and to make the grid secure from adversaries. In this paper, a lightweight security scheme has been proposed consolidating ChaCha20 data encryption method, chaos based key generation and public key-based authentication scheme. Mathematical analysis shows that the proposed scheme is suitable to be used in SGs in terms of low power, less processing time and high throughput which makes it lightweight and faster. This scheme also prevents any kind of timing attacks such as replay attack.

[ES] La red eléctrica inteligente, o Smart Grid, se basa en combinar las tecnologías de información y comunicación con la automatización y control. Ofrece una solución para incrementar la eficiencia energética monitorizando los nodos conectados a la red, para así responder automáticamente ante la fluctuación de la demanda energética. AMI (Advanced Metering Infrastructure) es un sistema integrado en la red eléctrica que permite la medida mediante la comunicación bidireccional entre puntos finales, cubriendo grandes áreas y distancias con un gran número de nodos (cerca de mil). La solución AMI de MaxLinear ofrece ciertas ventajas respecto otras tecnologías para la red de baja tensión: nodos Plug-and-Play, ancho de banda, medida de consumo en nodos finales, robustez, integración sencilla en la red actual y conectividad IP extremo a extremo. Un entorno de validación automática hace posible ejecutar un conjunto de pruebas dentro de un entorno controlado, haciendo posible encontrar fallos en el producto antes de pasar a producción. Haciendo uso de un servidor de integración continua automática (Jenkins), un framework de validación para realizar pruebas de desarrollo y aceptación (Robot Framework) de firmware, y software de control de versiones (Git) para el mantenimiento de archivos de código., [EN] The Smart Grid is based on combining information and communication technologies with automation and control. It offers a solution to increase energy efficiency by monitoring the nodes connected to the network, in order to automatically respond to fluctuations in energy demand. AMI (Advanced metering infrastructure) is an integrated system in the electrical network that allows measurement through bidirectional communication between endpoints, covering large areas and distances with a large number of nodes (close to one thousand). MaxLinear s AMI solution offers certain advantages over other technologies for the low voltage network: Plug-and-Play nodes, bandwidth, consumption measurement in end nodes, robustness, simple integration in the current network and end-to-end IP connectivity. An automatic validation environment makes it possible to run a set of tests within a controlled environment, making it possible to find faults in the product before going into production. Making use of an automatic continuous integration server (Jenkins), a validation framework to perform development and acceptance tests (Robot Framework) of firmware, and version control software (Git) for the maintenance of code files.

This paper primarily deals with the design of an Information and Control Technology (ICT) network for an advanced metering infrastructure (AMI) on the IEEE 34 node radial distribution network. The application is comprised of 330 smart meters deployed in the low voltage system and 33 data concentrators in the medium voltage system. A power line carrier (PLC) communication system design is developed and simulated in Network Simulator 3 (NS-3). The simulation result is validated by comparing the communication network performance with the minimum performance requirements for AMI. The network delay of a single data frame is calculated and compared with the simulation delay. The design methodology proposed in this article may be used for other smart grid applications. The secondary goal is to provide AMI network traffic based on the IEC Std. 61968 and a discussion on whether or not AMI could possibly be a source of big data on the future power grid.

Zastarjeli načini distribucije električne energije ukazao je na mnoge nedostatke te se pojavila potreba za boljim sistemom. Napredna mjerenja i pametne mreže omogućuju suvremeniji način distribucije i kontrole električne energije s brojim prednostima. U ovom radu je opisan razvoj pametnog brojila, princip naprednog mjerenja električne energije i primjena u stvarnim projektima. Prikazano je stanje na projektima pametnog mjerenja kako u Europi tako i u Hrvatskoj The electricity distribution has shown many disadvantages over the years and a need for a better system has emerged. Advanced measurements and smart networks provide a more modern way of distributing and controlling electricity with numerous benefits. This paper describes the development of a smart meter, the principle of advanced metering of electricity and its application in real projects. The state of smart measurement projects is presented in both Europe and Croatia

In our opinion, this public debate about Smart Grids (SG) ignores some important aspects of its real implementation. The most important aspect is realistic cost benefit analysis (CBA) which can be seen as a correct methodology for investment efficiency valuation. Our proposed methodology for CBA for SG implementation is mentioned and discussed in this paper. According to our research involvement of brand new customer tariffs show up to be necessary inputs for CBA. It is truth that some pilot projects for mapping of particular technical devices are today in experimental operation. These projects does not use any cpecial smart tariff, which is according to us also incorrect. In other words pilot projects which are operated regardless to the market conditions and smart tariffs are therefore incomplete and not viable. In more detail our paper collects basic information about costs and benefits of SG implementation and these information are utilized by the means of our systematic approach. The SG implementation process is explained by our methodology as a system with feedback. Finally the proposed methodology is applied and proven on a specific case of electricity accumulation in the environment of Czech Republic.