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New challenges for forecasting voltage sags due to lightning phenomena in distribution networks 配电网雷电现象引起的电压跌落预测的新挑战
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626834
A. Andreotti, A. Bracale, G. Mazzanti, A. Russo, P. Varilone
{"title":"New challenges for forecasting voltage sags due to lightning phenomena in distribution networks","authors":"A. Andreotti, A. Bracale, G. Mazzanti, A. Russo, P. Varilone","doi":"10.23919/AEIT53387.2021.9626834","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626834","url":null,"abstract":"Voltage sags cause severe problems in distribution systems, resulting in huge economic losses; they may occur due to overvoltages and short circuits caused by lightning phenomena. The proposed research aims at developing a tool to forecast, with an adequate lead time, the main characteristics of the voltage sags caused by lightning phenomena in active distribution networks. The development of the tool requires methods for supporting decisions under uncertainty, the short-term forecasting of lightning affecting distribution systems and the modeling of: i) the lightning overvoltages and flashovers on overhead lines; ii) the line insulation withstanding characteristics to lightning overvoltages; iii) the impact of distributed generation contribution in short-circuit operating conditions; and iv) the voltage sags characteristics. All tasks are considered and described in this paper.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124574208","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}
引用次数: 0
3D MCA Validation by the Harmonic Measurement Campaign on the Sicily-Malta HV Three-Core Submarine Cable 西西里-马耳他高压三芯海底电缆谐波测量运动的三维MCA验证
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9627016
R. Benato, S. Sessa, G. Gardan, L. Rusalen, F. Sanniti
{"title":"3D MCA Validation by the Harmonic Measurement Campaign on the Sicily-Malta HV Three-Core Submarine Cable","authors":"R. Benato, S. Sessa, G. Gardan, L. Rusalen, F. Sanniti","doi":"10.23919/AEIT53387.2021.9627016","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9627016","url":null,"abstract":"The paper deals with a final experimental validation of three-dimensional Multiconductor Cell Analysis (MCA) developed by the Electric Energy Transmission Laboratory of the University of Padova. This final confirmation comes from the measurement campaign carried out on one of the longest (100 km) HVAC submarine three-core cables in the world: the Sicily-Malta interconnector. The considered frequency measurements range from 0 to 40th harmonic order with both positive and zero sequence supplies. In this overall harmonic interval and with both supplies, the comparison between measurements and MCA results highlights a very good agreement (maximum differences of 10 %). These differences are negligible if measurement uncertainties are considered.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131332752","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}
引用次数: 0
Analysis of Possible Scenarios on the Future Development of Electric Mobility: Focus on the Italian Context 对未来电动交通发展的可能情景分析:以意大利为重点
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626849
Diego Franceschini, V. Cirimele, M. Longo
{"title":"Analysis of Possible Scenarios on the Future Development of Electric Mobility: Focus on the Italian Context","authors":"Diego Franceschini, V. Cirimele, M. Longo","doi":"10.23919/AEIT53387.2021.9626849","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626849","url":null,"abstract":"This paper presents an overview of the development of the electric vehicle market, analyzing global and European trends with particular attention to the Italian market. Starting from the historical data collected, the work shows different development scenarios for the different types of electric vehicles up to 2030. The work proposes four different development scenarios which consider not only the growth in the overall number of EVs but also the type of technology that will take over. The results indicate that the number of electric vehicles on the Italian market will be between three and six million units by 2030.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133908037","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}
引用次数: 2
Wind power forecasting models for very short-term operation of power systems 电力系统极短期运行的风电预测模型
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9627018
Matteo Contu, R. Gnudi, F. Allella, A. Pascucci, E. Carlini, Anna Chiara Murgia, Pier Luigi Marongiu, Eraldo Carcassi, Igor Andriyets, E. Ghiani, F. Pilo
{"title":"Wind power forecasting models for very short-term operation of power systems","authors":"Matteo Contu, R. Gnudi, F. Allella, A. Pascucci, E. Carlini, Anna Chiara Murgia, Pier Luigi Marongiu, Eraldo Carcassi, Igor Andriyets, E. Ghiani, F. Pilo","doi":"10.23919/AEIT53387.2021.9627018","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9627018","url":null,"abstract":"The integration of intermittent and volatile wind power into the electric grid poses different challenges to grid operators in the planning and operation of electric power systems. In particular, in case of system-wide oversupply or local transmission constraints, the grid operator could reduce or restrict energy production from renewable generation plants for some periods, lasting minutes to hours depending on the meteorological condition and corresponding loading of the power system. In this context, this paper presents a model based on an artificial neural network approach for wind power nowcasting based on real-time measurements data exchanged between the wind energy producers and the Italian transmission system operator. The developed model can be a valuable aid for the system operator and can be integrated into future tools designed to support grid operators for the real-time management of the wind generators during the curtailments, for having greater control of the wind parks when returning to service. A real case example is used to show the usefulness and effectiveness of the developed methodology.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114186105","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}
引用次数: 1
Stability analysis of the OSMOSE scenarios: main findings, problems, and solutions adopted OSMOSE方案的稳定性分析:主要发现、问题和采用的解决方案
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626939
A. Berizzi, V. Ilea, Andrea Vicario, F. Conte, S. Massucco, James Amankwah Adu, C. Nucci, Tadeo Pontecorvo
{"title":"Stability analysis of the OSMOSE scenarios: main findings, problems, and solutions adopted","authors":"A. Berizzi, V. Ilea, Andrea Vicario, F. Conte, S. Massucco, James Amankwah Adu, C. Nucci, Tadeo Pontecorvo","doi":"10.23919/AEIT53387.2021.9626939","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626939","url":null,"abstract":"This paper presents the main findings, problems encountered, and solutions regarding the dynamic stability of future network operation scenarios in the presence of a high amount of clean, converter-based energy sources (renewables, storage, etc.) as studied within the OSMOSE European project. This study has been carried out on a portion of the Italian transmission grid where the most recent and innovative flexibility services have been implemented to preserve the dynamic stability for the scenarios selected. The most typical and critical generation/demand conditions have been recreated on the Sicilian grid for 2030 and checked. This research proves that in the future, different services, like synthetic inertia from renewable energy sources, flexible demand response, or reactive power provision from static converters, must be taken into account to preserve system stability as traditional generators are progressively phased out.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126054519","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}
引用次数: 1
On Comparing Regressive and Artificial Neural Network Methods for Power System Forecast 电力系统预测的回归与人工神经网络方法比较
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626938
A. Andreotti, Bianca Caiazzo, Antonio Di Pasquale, M. Pagano
{"title":"On Comparing Regressive and Artificial Neural Network Methods for Power System Forecast","authors":"A. Andreotti, Bianca Caiazzo, Antonio Di Pasquale, M. Pagano","doi":"10.23919/AEIT53387.2021.9626938","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626938","url":null,"abstract":"Power-forecasting model is a relevant topic in modern power systems. This is due to the wide integration of Renewable Energy Sources (RESs) and their not predictable production. To face this issue, the paper presents a comparison between the performances of the traditional Autoregressive (AR) statistical method and the more recent Artificial Neural Network (ANN) method. The comparison is applied in forecasting of the most significant RES present in the Sicily zone (Italy), i.e., solar sources. To this aim, using the data of Gestore Servizi Energetici (GSE), both the AR and ANN architectures are built by exploiting the information available in time period 2010 − 2015 in terms of temperatures and solar irradiation, thus obtaining a power forecasting for 2016 for each country of the Sicily zone. The performances of the two different methods are compared on the basis of both Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) values. These two indexes are used to evaluate the accuracy of the proposed models.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114441996","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}
引用次数: 0
Future energy scenarios, impact on hydrogen development and EU green energy strategy 未来能源情景，对氢能发展和欧盟绿色能源战略的影响
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9627015
A. Clerici, S. Furfari
{"title":"Future energy scenarios, impact on hydrogen development and EU green energy strategy","authors":"A. Clerici, S. Furfari","doi":"10.23919/AEIT53387.2021.9627015","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9627015","url":null,"abstract":"Following the companion paper general survey on global energy and emissions subdivision in Non-OECD, OECD and EU countries is presented. A summary of some 2050 scenarios recently published on energy transition is reported together with their impact on power systems and hydrogen development. The European Commission (EC) targets on hydrogen within its Green Deal view is summarised with comments and underlining necessity on clarifications on the hypotheses of its 10 Mt of green hydrogen production in 2030. The conclusions report author’s main remarks and suggestions on energy transition and hydrogen development.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129571566","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}
引用次数: 2
Assessment of the health status of Medium Voltage lines through a complex neural network 基于复杂神经网络的中压线路健康状况评估
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9627068
M. Bindi, A. Luchetta, P. Scarpino, M. C. Piccirilli, F. Grasso, A. Sturchio
{"title":"Assessment of the health status of Medium Voltage lines through a complex neural network","authors":"M. Bindi, A. Luchetta, P. Scarpino, M. C. Piccirilli, F. Grasso, A. Sturchio","doi":"10.23919/AEIT53387.2021.9627068","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9627068","url":null,"abstract":"This paper presents an analysis method capable of monitoring the thermal behavior of medium voltage lines. The main theoretical concept on which this method is based is the analysis of the frequency response. Line admittance measurements are used to identify the operating temperature of underground cables. Several factors affect the conductor temperature, such as overload currents, variations in environmental conditions, the health status of the insulating materials. All these situations increase the cable temperature and, consequently, the resistance of the conductor. When the electrical parameters of the cable change, the frequency response also changes and, in this work, a monitoring system based on a machine learning technique is used to classify its magnitude and phase. The monitoring method here proposed uses a feed-forward multilayer neural network with multivalued neurons in order to classify the working temperature of the cable allowing the prevention of catastrophic failures.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130009922","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}
引用次数: 2
Heatwaves and underground MV cable joints failures 热浪和地下中压电缆接头故障
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9627070
M. Pompili, L. Calcara, S. Sangiovanni
{"title":"Heatwaves and underground MV cable joints failures","authors":"M. Pompili, L. Calcara, S. Sangiovanni","doi":"10.23919/AEIT53387.2021.9627070","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9627070","url":null,"abstract":"In the last years, the summer meteorological conditions became much hotter and more arid as one of the consequences of the climate changes. These conditions have caused and are causing an increasing number of unexpected failures in underground medium voltage cables, mainly in correspondence of cable joints which are weak points of the system. The anomalous hot weather conditions during the summer period may last for several days (heatwaves), worsening appreciably the consequence of this phenomenon; the stress obviously increases as the number of the warmer days and lack of rain prolongs, heating cable and joint insulating materials with their internal defects and voids, wherein partial discharge phenomena may be easily triggered at this higher temperature under the action of the electrical field greatly increased in correspondence of such defects and voids. The present paper reports a study on the hotter day sequences in some Italian main cities with the aim to establish a correct definition for the term \"heatwave\", to be used when dealing with underground cables failure topic.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124372642","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}
引用次数: 2
AEIT 2021 Copyright Page AEIT 2021版权页面
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/aeit53387.2021.9626969
{"title":"AEIT 2021 Copyright Page","authors":"","doi":"10.23919/aeit53387.2021.9626969","DOIUrl":"https://doi.org/10.23919/aeit53387.2021.9626969","url":null,"abstract":"","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133942977","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}
引用次数: 0
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