PROJECT TITLE: Energy Management Systems based on Internet of Things/ Energy Internet for Smart Homes
Collaborator: To be announced later.
The aim of this PhD study is to investigate the different possibilities of how to develop feasible, reliable and cost-effective methods of powering future homes by combining different types of sensors, actuators, control strategies and energy conversion systems in a way that they will not entirely rely on the main electricity grids which are still mostly powered by power plants consuming fossil fuels. An Internet of Things (IoT) based infrastructure will be carefully studied and during this period different aspects such as benefits, technical challenges, feasibility and short comes will be investigated, keeping in mind that the ultimate aim is, in simple words, gaining and exploiting the largest amount of energy, from various sustainable energy resources, as safe and as cheap as possible.
Several energy sources form part of a micro grid system. These are called, DGs, or distributed generators. These DGs, considering the type of energy they produce, are connected to the loads and the grid by means of different types of power converters. A current problem in power converters is the lack of advanced communication systems. Most of the converters are able to provide measures and diagnostic indicators, but these systems are closer to a unidirectional data logger than to an actual bidirectional communication. This limit their usability in the tertiary control as no or little control is provided over the output power of the converter or their operational mode. In this project, the implementation of a bidirectional communication system will be investigated to connect the parallel inverters together by using novel IoT technologies and infrastructures. That will enable a peer-to-peer communication over the internet which can be reachable and available at most places so the problem of how widely distributed they are will be also addressed. By combining this enhanced communication capabilities in the tertiary control level with the well-established droop control techniques for power sharing between wide spread DGs an optimized control of the DER can be achieved, also allowing different clustering levels that will be expanded thanks to the use of internet based platforms. This can contribute to the improvement of the concept of smart inverters by means of improving their ability to perform more autonomous and cooperative.
Publications in journals and conference papers may be found at VBN.