{"title":"Optimal planning and operation of a small size Microgrid within a Positive Energy District","authors":"A. Sawhney, S. Bracco, F. Delfino, B. Bonvini","doi":"10.23919/AEIT56783.2022.9951718","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951718","url":null,"abstract":"A microgrid is a group of interconnected loads and distributed generation sources that acts as a single entity with respect to the public grid. The implementation of a microgrid providing energy to different users located in the same urban area can lead to environmental and economic benefits. Nowadays many urban redevelopment projects are opting for microgrids to reduce energy bills and to meet the criteria of positive energy districts. In this paper the optimal planning of a microgrid with the help of HOMER Grid software is accomplished. The simulation of the annual operation of the microgrid is performed applying all the required constraints to obtain the optimal sizing of the installed technologies consisting of PV plants, storage battery systems, CHP units, and micro wind turbines. Different scenarios are analyzed as a function of variable electricity purchase and selling prices, as well as considering current incentive mechanisms. The analyzed microgrid has been designed in the city of Savona, in the North of Italy, within the Interreg Alpine Space ALPGRIDS project.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125066926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gabriele Biasiotti, M. Poli, Simone Talomo, Mirko Romanin, C. Vergine, L. Calcara, M. Pompili
{"title":"Evaluation of Weather Forecast Uncertainty for HV Grid Operational Resilience Improvement","authors":"Gabriele Biasiotti, M. Poli, Simone Talomo, Mirko Romanin, C. Vergine, L. Calcara, M. Pompili","doi":"10.23919/AEIT56783.2022.9951855","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951855","url":null,"abstract":"The quality of any electricity transmission service is based on the ability to ensure continuity of the electricity supply in compliance with adequate voltage and frequency values over time. Similar or higher levels of power quality must be warranted also in presence of higher RES penetration, growth of energy consumptions, peak power requests and increasing presence of electronic components in building and industrial sectors. However, the electricity grid, by its nature, is exposed to a wide range of threats and attacks, which are often related to negative weather conditions and are not easy to predict in terms of location and intensity. The consequence of unexpected adverse weather events may impact on the resilience of the HV electrical grid.The development of predictive models has always been of interest to the Italian electricity sector and allows utilities to understand the potential consequences of an event and plan to mitigate these consequences before it occurs.In the present paper, comparisons between traditional weather forecasting systems (forecast day-1 and final data) and the additional information achieved by local meteorological stations are reported with the aim to evaluate the real precision of the actual forecasting systems from the perspective of improving the resilience of the HV grid.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128300940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Equation-based Modeling of Synchronous Machines for Transient Stability Studies","authors":"Mohammad Babaeifar, S. Barsali, M. Ceraolo","doi":"10.23919/AEIT56783.2022.9951774","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951774","url":null,"abstract":"This paper discusses modelling details of synchronous machines based on their description in terms of equations through the Modelica language and Modelica-based PowerGrids library. Synchronous machine modelling is well established in plenty of research and PowerGrids library has been designed prior to this paper. The novelty of this paper resides in the fact that here we discuss some key model details, and their effects, based on the description of the model through the Modelica language. This allows analyzing them in a transparent way, i.e., without having to rely on user’s manuals or simulator internal unknown details. Using this approach, the paper contributes to understanding of how making changes or simplifications in synchronous machine model could influence the results. Also, it investigates how to model synchronous machines with different number of rotor windings by changings the values of standard parameters. The paper compares and cross-validates the results that are obtained by the equation-based PowerGrids model with those attainable with MATLAB/Simulink/Simscape Electrical. This way, we obtain cross-validation of the results.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130404461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Arrigoni, M. Pirovano, S. Mentasti, M. Khayyat, F. Braghin, F. Cheli, Matteo Matteucci
{"title":"Experimental Implementation of a Trajectory Planner for Autonomous Driving","authors":"S. Arrigoni, M. Pirovano, S. Mentasti, M. Khayyat, F. Braghin, F. Cheli, Matteo Matteucci","doi":"10.23919/AEIT56783.2022.9951715","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951715","url":null,"abstract":"Automation of road vehicles faced a disruptive growth in the last decades and it’s expected to deeply change many aspects of the society. In last years we assisted to a spread of autonomous driving pilot projects and proof of concepts by means of experimental prototypes both from companies and research groups. In this paper, a trajectory planner for autonomous driving is implemented and tested on a prototype vehicle. A full description of Model predictive control (MPC) formulation adopted is provided and implementation choices are motivated. A performance and reliability analysis is presented by means of a comparison between simulation and experimental results collected on a racetrack. Conclusions and future development directions are drawn.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126919659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Rundo, S. Coffa, M. Calabretta, Riccardo Emanuele Sarpietro, A. Messina, C. Pino, S. Palazzo, C. Spampinato
{"title":"Hybrid Deep Learning Pipeline for Advanced Electrical Wafer Defect Maps Assessment","authors":"F. Rundo, S. Coffa, M. Calabretta, Riccardo Emanuele Sarpietro, A. Messina, C. Pino, S. Palazzo, C. Spampinato","doi":"10.23919/AEIT56783.2022.9951783","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951783","url":null,"abstract":"Detection and identification of production defects in semiconductor industry is a key process to allow effective quality control of manufacturing. The advent of new technologies including Silicon and Silicon Carbide, highlights the necessity to have a robust detection system of wafer defects.The Electrical Wafer Sorting (EWS) stage based on defects map electrical analysis is suitable to spot anomalies and defect patterns in the wafer. This time consuming phase enables semiconductor companies to optimize and improve manufacturing process also through the usage of modern deep learning approaches. The proposed pipeline addresses the need to have a full-automatic wafer manufacturing defects identification system based on the EWS wafer map intelligent analysis and by using an approach based on a Deep Convolutional Neural Network combined with an unsupervised sub-system. The collected experimental results confirmed the robustness of the proposed approach.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121427749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Highlighting of local Power Quality states with the new QuEEN system, enhanced with Deep Learning and Machine Learning algorithms","authors":"M. Zanoni, R. Chiumeo, L. Tenti, Massimo Volta","doi":"10.23919/AEIT56783.2022.9951859","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951859","url":null,"abstract":"The enhancement of the new QuEEN system, with the integration of Deep Learning and Machine Learning algorithms for the evaluation of the validity and origin of voltage dips, has allowed to highlight specific situations concerning Power Quality. It was in fact possible to make comparisons, also at a regional level, between the results of these algorithms and those of the \"official\" QuEEN criteria, by cross-referencing the results with the network data. If at national level the results of the extended comparison only provide confirmations of previous assumptions, we observe specific local situations regarding the number of occurrences of false voltage dips, and therefore of single-phase earth faults. These situations are analyzed with reference to network characteristics.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125727828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Rundo, Riccardo Emanuele Sarpietro, S. Battiato
{"title":"Bio-inspired Embedded System for Intelligent Driving Assistance in the Next Generation Cars","authors":"F. Rundo, Riccardo Emanuele Sarpietro, S. Battiato","doi":"10.23919/AEIT56783.2022.9951723","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951723","url":null,"abstract":"In the field of automotive applications, scientific effort has been focused on monitoring driver’s attention level as well as on the driving scenario risk assessment. In that context, the physiological tracking of the driver has proved to be an excellent non-invasive approach to provide a robust driving assistance. The authors propose a driving assistance system based on the use of an ad-hoc designed bio-sensor that samples the driver’s photoplethysmographic (PPG) signal by correlating it with the related attention level. A downstream deep architecture processes the driver’s PPG signal by reconstructing the corresponding attention level. Simultaneously, an external intelligent automotive-grade vision-based system will be responsible for characterizing the driving scenario risk level by using video saliency analysis techniques. The collected experiment results confirmed the effectiveness of the proposed full pipeline.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"519 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116260872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Techno-economic design of a smart multienergy microgrid","authors":"S. Fabozzi, G. Graditi, M. Valenti","doi":"10.23919/AEIT56783.2022.9951736","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951736","url":null,"abstract":"The paper presents the main objectives, approach, and research challenges of the Mission Innovation project “MISSION Multivector Integrated Smart Systems and Intelligent microgrids for accelerating the energy transition” carried out in the research center of Portici (ENEA). More specifically, the work started with an analysis of the state of the art of smart networks implemented at national and international level, with the aim of identifying the innovative elements of Smart Energy Microgrid (SEM) ENEA compared to the existing installations. A special focus has been given to the preliminary assessment of the technologies involved, the sizing and the constraints of the SEM. The productions of the technologies that allow to understand the behavior of the entire simulated energy system are reported. Based on the analysis of the results achieved and through the considerations of the available space, the most feasible scenario is revealed.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122895452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. D. Fazio, A. Losi, M. Russo, F. Cacace, Francesco Conte, G. Iannello, G. Natrella, M. Saviozzi
{"title":"Methods and Tools for the Management of Renewable Energy Communities: the ComER project","authors":"A. D. Fazio, A. Losi, M. Russo, F. Cacace, Francesco Conte, G. Iannello, G. Natrella, M. Saviozzi","doi":"10.23919/AEIT56783.2022.9951776","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951776","url":null,"abstract":"Renewable Energy Communities (RECs) have been officially introduced into the European legislation through the Clean Energy for all Europeans package. A REC is defined as an association of citizens, commercial activities, enterprises, and local authorities that own small-scale power plants based on Renewable Energy Sources (RESs). The community has the objective of maximizing the share of renewable energy, i.e. the self-consumption of the energy generated by the community RES power plants and to generally optimize the use of electrical energy. This paper describes the ComER project, developed by the University of Cassino and the Campus Bio-Medico University of Rome. The project focuses on the main technical problems to face for the realization of a REC. The principal objective is to develop methods and tools necessary for the management and control of RECs. In particular, this paper describes the rules established for RECs in the Italian legislations, the organization of the ComER project, the adopted solutions and the first obtained results.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134131151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Prudenzi, A. Fioravanti, A. Silvestri, F. Ciancetta, E. Fiorucci, S. Mari
{"title":"Overview of the Propagation of Supraharmonics in Power Systems","authors":"A. Prudenzi, A. Fioravanti, A. Silvestri, F. Ciancetta, E. Fiorucci, S. Mari","doi":"10.23919/AEIT56783.2022.9951834","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951834","url":null,"abstract":"The deep penetration of power electronics has led to the inevitable increase in the levels of supraharmonics with a series of negative consequences on the grid. Some effects are: malfunction and failure of control circuits and protection devices, impact on the light intensity of LED lamps, insulation failures in cables, overheating and accelerated aging of capacitor banks, transformers, and rotating machines, and loss of communication on the power line with smart meters. This overview is intended to discuss how these supraharmonics interfere with components and how they propagate over the network. Specifically, the effects due to photovoltaic and wind generators, of LED and fluorescent lamps will be analyzed; to then move on to analyze the regulations and methods for reducing supraharmonics.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}