Nicolò Cardamone, Vito Dalena, A. Mauro, M. Settembre, Gabriele Vecchia, Antonino Vitaliti, G. Dondossola, D. Bartalesi, F. Garrone, R. Terruggia
{"title":"Blockchain-Based Public Key Authentication of IoT Devices for Electrical Energy Systems","authors":"Nicolò Cardamone, Vito Dalena, A. Mauro, M. Settembre, Gabriele Vecchia, Antonino Vitaliti, G. Dondossola, D. Bartalesi, F. Garrone, R. Terruggia","doi":"10.23919/AEIT56783.2022.9951818","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951818","url":null,"abstract":"Information and communication technologies (ICT) support the digital evolution of energy networks, enabling automated and smart operations. Internet of Things (IoT) devices allow automated remote measurements and data collection improving anomaly detection, predictive maintenance, and operational efficiency. When IoT devices communicate with each other they shall be authenticated within the network. Traditional authentication methods rely on certificates issued by a centralized Certification Authority (CA), that may be affected by a single point of failure and may be computationally heavy for resource constrained IoT devices. The paper presents a prototype implementation of a blockchain based public key authentication for IoT devices in the context of electrical monitoring systems. In the proposed solution, the IoT devices communicate on a secure channel via a publisher subscriber protocol (MQTT - Message Queue Telemetry Transport), exploiting the Transport Layer Security (TLS) and the use of an Algorand Blockchain system. The results of the functional testing are encouraging a deeper investigation in the adoption of Blockchain systems for the authentication of IoT devices in typical scenarios targeted by the energy transition.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"327 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":"116444589","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}
Marco Lagnoni, C. Scarpelli, F. Barontini, A. Bertei, G. Lutzemberger, M. Puccini
{"title":"Calibration and Validation of Equivalent Circuit and Physics-Based Models for Li-ion Battery","authors":"Marco Lagnoni, C. Scarpelli, F. Barontini, A. Bertei, G. Lutzemberger, M. Puccini","doi":"10.23919/AEIT56783.2022.9951802","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951802","url":null,"abstract":"Modeling lithium-ion batteries is crucial for electrochemical energy storage to characterize their behavior and predict their State-Of-Charge and State-Of-Health. Equivalent Circuit Models can identify voltage and temperature profiles under a given input current with little computational cost. However, they cannot explain relevant microscopic phenomena that determine the battery's capability to deliver power and be efficiently charged. Conversely, Physics-Based Models can consider advanced physics and account for microscopic information at an increased cost, precluding their utilization in Battery Management Systems. This paper proposes to validate and integrate the two cited modelling approaches applied to a commercial lithium iron phosphate battery. The latter are validated with discharge-charge experimental tests, and microstructural data directly measured through the experimental disassembly of the battery. In this way, equivalent battery models become ideally linked to physics-based ones to fit all the internal electrochemical processes for a complete understanding of the evolution of battery states over time.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"29 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":"127785275","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}
P. Faggian, Arianna Trevisiol, E. Ciapessoni, F. Marzullo, Francesca Scavo
{"title":"Future projections of wet-snow events and loads on overhead lines","authors":"P. Faggian, Arianna Trevisiol, E. Ciapessoni, F. Marzullo, Francesca Scavo","doi":"10.23919/AEIT56783.2022.9951854","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951854","url":null,"abstract":"Heavy snowfalls may have serious effects on National Transmission and Distribution Grids because they trigger the formation of sleeves on overhead power lines whose loads may cause outages and, consequently, prolonged disruptions of the energy supply. Some future projections have been elaborated on the basis of 12 high-resolution Euro-CORDEX models (spatial resolution of ~12km) under the configurations RCP8.5 (\"Business-As-Usual\" scenario) and RCP4.5 (scenario with moderate reductions of greenhouse gases emission) to provide information for planning actions to strength the resilience of the Power Network. Moreover, the meteorological reanalysis dataset MERIDA (with 4km spatial resolution, covering the period 1990-2020) was used for: i) implementing as well as validating the \"Makkonen model\" to describe the growth of the wet-snow sleeve on high-voltage lines; ii) applying a \"bias-correction\" of the climate data through the \"Equidistant Quantile Mapping\" technique; iii) elaborating the reference scenarios 2001-2020 about wet-snow occurrences and wet-snow sleeve loads. After comparing the results with some observations and the reference scenarios, climate models’ outputs have been used to evaluate the future projections in the periods 2021-2040, 2031-2050, 2041-2060. Referring to Extreme Value Analysis, probability maps have been elaborated by means of the \"Generalized Extreme Values\" distributions. The results point out that wet-snow phenomena will generally decrease as snowfall will turn in rainfall due to global warming. Instead, these events may intensify over the highest Alpine regions as temperatures will be more likely in the range of wet-snow conditions in a future warmer climate.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"21 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":"130388378","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}
Lorenzo Carmine Vitulano, S. Dambone Sessa, A. L'Abbate, R. Calisti
{"title":"HVAC-to-HVDC OHL conversion: a study case in the Sicilian transmission network","authors":"Lorenzo Carmine Vitulano, S. Dambone Sessa, A. L'Abbate, R. Calisti","doi":"10.23919/AEIT56783.2022.9951843","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951843","url":null,"abstract":"The present paper describes the network analyses and the evaluation studies concerning the potential HVAC (High Voltage Alternating Current)-to-HVDC (High Voltage Direct Current) conversion of a transmission line in a realistic case of the Italian power system in a 2030 scenario. The activity, carried out in the framework of the collaboration between RSE and the University of Padova, has started with the definition and set-up of the reference power and energy scenario for the year 2030. The selected power and energy scenario for the Italian system at the horizon year 2030 is based on the NECP (National Energy and Climate Plan). In this context, particular attention has been devoted to the power system of Sicily, focusing the analysis on the possible 2030 grid congestions, also due to the massive electricity production by renewable energy sources, especially in the western part of the island.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"23 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":"126481656","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":"GaN-Based Low-Voltage Inverter for Electric Scooter Drive System","authors":"S. Musumeci, V. Barba, M. Palma","doi":"10.23919/AEIT56783.2022.9951808","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951808","url":null,"abstract":"The paper deals with the application of the latest generation low voltage (up to 80V) Gallium Nitride (GaN) devices for motor drive applications in the field of electric micro-mobility. A two-level inverter topology oriented to light electric traction (such as electric scooters) with a power rate of 1500W has been considered. An experimental board using two GaN FETs in parallel connection for each switch of an inverter leg has been arranged. The intrinsic parameters spread of the device, as well as the leakage inductances of both the circuit and the PCB, to evaluate the impact on the current share during both the transient phase and in the steady state have been investigated. In the paper, several simulation runs have been carried out and described. Furthermore, the inverter experimental board has been used to evaluate the phase voltages and currents at different load conditions. Finally, the temperature limits versus phase current variation have been evaluated.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"2005 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":"128820611","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":"MESP - An Interoperable Platform for Multi-Energy Systems","authors":"Gabriele Paludetto, E. Bionda, F. Soldan","doi":"10.23919/AEIT56783.2022.9951779","DOIUrl":"https://doi.org/10.23919/AEIT56783.2022.9951779","url":null,"abstract":"The future integration of different energy carriers in a single multi-energy network is fundamental for enhancing the flexibility, efficiency and sustainability of the whole energy system. This challenge is strongly associated with the digital transition of networks, as it requires an integrated management of data coming not only from several internal systems of utilities (GIS, asset management, DMS), but also related to different energy vectors. This paper presents a semantic, modular, open-source platform based on international standards to manage and study multi-energy networks: the Multi Energy Semantic Platform (MESP). The architecture, based on Kubernetes and microservices, ensures synergy between semantic web technologies and big data/machine learning algorithms. To show the potential of the platform, a real case study for the city of Milan is presented. In this example, the electricity distribution grid and the district heating network are described using a compatible semantic model (based on IEC CIM) and their exchange points are identified and geographically visualized. Both utilities and universities may benefit from this open-source platform, which supports an easy integration of innovative artificial intelligence algorithms and is adaptable according to the needs of considered use cases. Moreover, the MESP may support management operations of energy communities or small electric cooperatives, which cannot afford large investments both in economic terms and in human resources.","PeriodicalId":253384,"journal":{"name":"2022 AEIT International Annual Conference (AEIT)","volume":"27 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":"116759846","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}