Abstract
The aim and challenge of this research project is to define and qualify an innovative distributed measurement system for proper, effective, and efficient implementation of innovative applications in a modern electrical distribution Smart Grid (SG) aimed at increasing the use of renewable energy and handling resources such as distributed generation, storage systems, electric vehicles, etc.. In this context, the starting concept of the project is that any operation that can be defined as "intelligent" has as a necessary starting concept prerequisite an adequate knowledge of the system involved in that operation. The driving idea is that the huge amount of available from the measurement/estimation of both electrical and non-electrical quantities should be translated into actual, which means they have to be accompanied by an indication about their information quality, so that proper risk-based decisional rules can be adopted. The approach that will be followed involves a rigorous research work focused on measurements, which analyzes all aspects of the system in an integrated way: from individual voltage and current sensors to the overall system, from the algorithm for measuring a single quantity (for example, the synchrophasor or the harmonic synchrophasor) to the state estimation procedure, from the metrological characterization of a single device to the propagation of uncertainties. In particular, an innovative coordinated approach is proposed to make the measurement system able to self-detect its weak points and self-compensate their effects, in order to continuously improve its performance. The structure of the project consists of three Work Packages (WPs). - WP1 introduces advanced methods for estimating and optimizing the information quality provided by the individual components of the measurement system (instrument transformers, synchronized measurement devices, pseudo-measurements, etc.) both in the initial metrological characterization and over time. - WP2 assesses the combined impact of the uncertainty sources considered in WP1 on state estimation procedures and then faces probably the most ambitious goal of the project, which is the study of techniques for the self-identification of measurement issues in the system and for their compensation, thus allowing a continuous and adaptive improvement of the metrological performance. - WP3 analyzes, through both simulations and experimental tests, the benefits of the proposed solutions on major applications for SGs. The strengths of the project are complementarity and integration between the specialized competences owned by the involved strengths research units, as well as its substantial impact on the feasibility of innovative SG management paradigms.
Project details
Unibo Team Leader: Lorenzo Peretto
Unibo involved Department/s:
Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"
Coordinator:
Università degli Studi di CAGLIARI(Italy)
Total Unibo Contribution: Euro (EUR) 70.880,00
Project Duration in months: 24
Start Date:
28/09/2023
End Date:
28/02/2026
