Lorenzo Becchi - IEEE Xplore Author Profile

Showing 1-13 of 13 results

Filter Results

Show

Results

The problem of electrical load forecasting represents a crucial aspect in many Smart Grid applications. In Renewable Energy Communities, an effective Energy Management System, aiming at improving clean energy consumption and energy self-sufficiency, schedules the operations of the available controllable loads and energy storage systems necessarily relying on load forecasts. Obtaining accurate load...Show More
In this work, a novel strategy to determine the optimal duty cycle of a boost-type converter for battery charging applications from photovoltaic source is proposed. The optimal duty cycle is determined to keep the battery charging current constant at a fixed value. The strategy is based on a preliminary analysis of the conversion chain from the PV source to the battery load, from which a steady-st...Show More
The integration of Artificial Intelligence techniques in the domain of power converters has emerged as a transformative force, revolutionizing design, control, and maintenance paradigms. This paper provides a comprehensive overview of recent advancements in Artificial Intelligence applications tailored specifically for power converters. Moreover, Artificial Intelligence-based control strategies ha...Show More
In this paper, a technique for detecting foreign metal objects in a wireless power transfer system is presented. The proposed approach exploits a multilayer neural network with multivalued neurons. The main advantage of the proposed approach compared to the literature is the reduced number of current and voltage measurements. The procedure proposed in this work is completely based on real measurem...Show More
In this work a novel approach to estimate the produced power and mismatch losses for vertically mounted bifacial solar panels is presented. The approach is based on the estimation of the ground reflected irradiance on the panel through the application of an analytical closed form for the view factor in a perpendicular geometry. The radiation information is then used to estimate the current-voltage...Show More
This paper presents a novel technique based on Genetic Algorithms for the design of Inductive Wireless Power Transfer systems with LCC-S compensation. The proposed approach sizes the primary coil and selects the resonant tank components to achieve the desired output power with high transfer efficiency for any given load connected to the receiver coil. Mathematical models for self-inductance and mu...Show More
Wireless Power Transfer is growing in popularity as it represents an attractive charging method in many applications. As such, monitoring these devices to detect soft faults (which can possibly lead to destructive failures) becomes an important task to ensure continuous operation of these systems and to reduce unavailability periods. This paper proposes a study regarding soft fault diagnosis on an...Show More
This paper proposes an innovative approach in managing prosumer batteries using a rule-based control algorithm. The main information used in this work to develop actions on a Battery Energy Storage System (BESS) are the price of energy on the day-ahead electricity market, the prosumer consumption/production forecasts and the effect of charging/discharging operations on battery degradation. In orde...Show More
Photovoltaics represents one of the key sources of clean energy to help reduce the carbon footprint and fight climate change, enabling the so-called green energy transition. To maximize photovoltaic production in any irradiation and temperature conditions, Maximum Power Point Tracking techniques must be implemented to determine and set the working point at which the photovoltaic panel delivers the...Show More
This article proposes a comprehensive prognostic procedure capable of preventing failures in electrical power systems based on the theory of parametric faults of analog circuits. In this sense, the integration of symbolic analysis software, programming platforms and graphical environments for dynamic analysis of multidomain systems plays a fundamental role. The most important steps to avoid catast...Show More
In this work, a monitoring technique for switching devices used in DC-DC converters is presented. The prognostic approach requires the processing of time domain measurements extracted from specific test points of the converter under test, with the purpose of assessing the drain-to-source resistance variations due to overheating before they lead to a total loss of functionality. The proposed monito...Show More
The a-priori economic and energetic design of a Renewable Energy Community (REC) requires hourly electric generation and load profiles for the community members. Energy generation profiles are easily inferable, especially in the case of photovoltaics. Energy consumption trends, on the other hand, are more unpredictable. For this reason, the reconstruction of simulated hourly load profiles becomes ...Show More
In this paper the effect of parasitic elements on the MOSFETs switching transient through a linear and time-varying electrical model is presented. In particular, the effect of non-linear junction capacitances and the stray inductances have been studied and compared in terms of switching loss and waveform overshoot and ringing. The results obtained with the proposed model are validated by compariso...Show More