Academy of Finland Research Fellow


Building the Energy Internet as a large-scale IoT-based cyber-physical system that manages the energy inventory of distribution grids as discretized packets via machine-type communications (EnergyNet)

Fellow: Pedro Henrique Juliano Nardelli

Postdoc: Arun Narayanan

Doctoral students: Hafiz Majid Hussain, Mehar Ullah and Pedro Gória

Funded by Academy of Finland

About

The recent development of information and energy technologies has the potential to advance the emergence of groups of non-industrial users that are self-sufficient in their energy needs while fully supplied by renewable sources. This project focuses on the Energy Internet as a large-scale cyber-physical system that virtualizes electric energy in packets to manage supply and demand in distribution grids, considering the existence of batteries and flexible consumption. Packetized energy has been already deployed to control individually specific loads as electric vehicle charging and water boilers via packet requests to an energy server. These requests may be granted, scheduled or not granted depending on the management algorithm. Although already proved in smaller scales, the concept of packetized energy was not designed to allow scaling-up to become a dominant technology. A management algorithm shall be then developed to handle the combinatorial allocation problem related to the server’s decisions while satisfying both the physical grid operational needs and the users’ service requirements. This project is concerned with technological and regulatory issues that would allow the Energy Internet to emerge, sustainably grow and then become the dominant way to manage the distribution grid. In the technological realm, this project will develop the energy management algorithm and investigate the how wireless communication systems shall be deployed to guarantee the diverse requirements imposed by the grid applications. The focus is on machine-type communications following the current research in 5G technologies, mainly massive connectivity, low latency and ultra-reliability. Using the communication-enabled grid facilities available at LUT Green Campus, this project will study the most efficient communication deployments, from data acquisition to end-application, based on traffic modeling, short message communication, new modulations, random-access schemes and statistical signal reconstruction. In relation to regulation, the research will test how different governance models may affect the layout and deployment of the management algorithm, and how different algorithms can co-exist so that the power quality and security of supply are ensured. Agent-based models will be used to study the feasibility and the conditions that would allow for a smooth transition from the existing today’s electricity market to the fossil-fuel-free Energy Internet by 2050.

Key publications

Cyber-physical systems

Packetized Energy Management

Commons

Communications and IoT

Power grids