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AEIT 2021 Title Page AEIT 2021标题页
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/aeit53387.2021.9626909
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引用次数: 0
Machine Learning for QoE and QoS Control of Slices in a Wide Area Network Test Bed 广域网试验台切片QoE与QoS控制的机器学习
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626968
F. Matera, E. Tego
{"title":"Machine Learning for QoE and QoS Control of Slices in a Wide Area Network Test Bed","authors":"F. Matera, E. Tego","doi":"10.23919/AEIT53387.2021.9626968","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626968","url":null,"abstract":"In this work an experimental investigation is reported about the use of machine learning, based both on a regressive approach and on artificial neural network, to evaluate the quality of experience from quality of service and other network measurements as packet losses, delays and traffic congestions, to control the performance of slices defined inside a wide area network test bed. Such a method allows the network to recover the best performance according to a knowledge defined network approach.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"16 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":"133442405","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
A weather temperature methodology on the Italian electricity demand 意大利电力需求的天气温度方法学
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626983
Matteo Contu, G. Pecoraro, F. Quaglia, Mauro Bonanni, F. Allella, A. Pascucci, E. Carlini
{"title":"A weather temperature methodology on the Italian electricity demand","authors":"Matteo Contu, G. Pecoraro, F. Quaglia, Mauro Bonanni, F. Allella, A. Pascucci, E. Carlini","doi":"10.23919/AEIT53387.2021.9626983","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626983","url":null,"abstract":"This paper presents a proposal methodology to study the temperature dependence of the Italian electricity demand. Indeed, weather temperature has a significant influence on the electricity consumption. From a Transmission System Operator (TSO) perspective, an accurate estimation of this effect is crucial to interpret and predict demand fluctuations. Several dispatching applications consider these phenomena, as for example adequacy analysis, demand forecasting tools, and real-time operational procedures. Based on the geographical features of Italy, it was possible to identify various sensitivity behaviors at regional scale. The purpose of this study is to develop a temperature sensitivity model to be applied on electricity demand profile with different time granularity (e.g., daily, hourly). A clustering analysis on the historical input data is performed. Furthermore, a thorough investigation to identify the optimal best-fitting method for this application is described. In order to test the methodology, some relevant business cases are simulated considering also extreme scenarios. Results on COVID-19 scenario is also described. Finally, an outlook on the planned future developments of the method is provided.","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":"124343807","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
AEIT 2021 Cover Page AEIT 2021封面
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/aeit53387.2021.9626947
{"title":"AEIT 2021 Cover Page","authors":"","doi":"10.23919/aeit53387.2021.9626947","DOIUrl":"https://doi.org/10.23919/aeit53387.2021.9626947","url":null,"abstract":"","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"4 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":"116798230","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 projections and return levels of wet-snow load on overhead lines and heavy snowfalls 未来的预测和返回水平的湿雪负荷架空线路和大雪
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626887
P. Faggian, G. Decimi, E. Ciapessoni, F. Marzullo, Francesca Scavo
{"title":"Future projections and return levels of wet-snow load on overhead lines and heavy snowfalls","authors":"P. Faggian, G. Decimi, E. Ciapessoni, F. Marzullo, Francesca Scavo","doi":"10.23919/AEIT53387.2021.9626887","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626887","url":null,"abstract":"Wet-snow conditions trigger the formation of ice sleeves on overhead power lines and promote the occurrence of heavy snowfalls whose effects may cause serious infrastructural damages and, consequently, prolonged disruptions on the National Transmission Grid. To develop action plans aimed to strength the resilience of the Power Network, probability maps about the expected occurrences of these phenomena are required. Such maps have been elaborated by processing the outputs of 11 high-resolution Euro-CORDEX models (spatial resolution ~12km), assuming a \"Business-As-Usual scenario\" (RCP8.5). The MERIDA meteorological reanalysis dataset (spatial resolution 7 km), spanning the period 1986-2019, was used to apply the \"Equidistant Quantile Mapping\", to \"bias-correct\" model data. MERIDA was also used to develop two numerical codes: the first is a modified formulation of the \"Makkonen model\" to describe the growth of the ice-sleeve on high-voltage lines; the second is a simple \"Snow model\" to estimate the weight of the snow on the ground.After validating the codes by analyzing the results with some observations, the codes have been applied to climate models’ outputs to evaluate these phenomena until 2060 and to deduce future scenarios. Probability maps have been elaborated by means of the \"Generalized Extreme Values\" (GEV) statistical technique, used to describe the expected values at the timeframes 2020, 2030, 2040 and 2050. The results point out that such phenomena will generally decrease as snowfall will turn in rainfall due to global warming. However, if the ice-sleeve loads are likely to reduce at low-medium altitudes, these events may intensify over the highest Alpine regions as, in a warmer climate, temperatures between -1.5 and +2 ° C will be more likely thus allowing the occurrence of wet snow events at those altitudes so far spared due to their typical cold temperatures.","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":"127058670","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: 3
An innovative algorithm for the power loads forecasting in Italian transmission grid: development and main results of the PREVEL software of Osmose project 意大利输电网电力负荷预测的创新算法:Osmose项目PREVEL软件的开发及主要成果
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626869
D. Ronzio, E. Collino, G. Lisciandrello, Luca Orrù
{"title":"An innovative algorithm for the power loads forecasting in Italian transmission grid: development and main results of the PREVEL software of Osmose project","authors":"D. Ronzio, E. Collino, G. Lisciandrello, Luca Orrù","doi":"10.23919/AEIT53387.2021.9626869","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626869","url":null,"abstract":"In the framework of the European OSMOSE project, the Zonal Energy Management System requires, every 15 minutes, the forecast of the loads at each node of the electricity transmission and sub-transmission network for the following three hours. The very short-term forecasts are provided using an Analog Ensemble scheme and an autoregressive method whose inputs consist of the last two months of short-term forecasts and load measurements. The required short-term forecasts result from a Random Forest algorithm trained using the last four months of meteorological data and load measurements. This article describes the first results of the ongoing trial, applied in Southern Italy.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"355 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":"133169061","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
New Optical System for Online, Real Time Sag Monitoring of High Voltage Overhead Lines 高压架空线暂降在线实时监测的新型光学系统
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626870
E. Golinelli, G. M. Ogliari, D. Bartalesi
{"title":"New Optical System for Online, Real Time Sag Monitoring of High Voltage Overhead Lines","authors":"E. Golinelli, G. M. Ogliari, D. Bartalesi","doi":"10.23919/AEIT53387.2021.9626870","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626870","url":null,"abstract":"A new optical system, based on image analysis, has been ad-hoc developed in RSE for the online monitoring of the clearance to ground of overhead power line conductors and to study winter ice sleeve formation and monitor summer overheating. The system is capable of in-field standalone operation. The functionality of the system, long-time tests at laboratory level and in a test facility have been performed. The results demonstrate its ability to perform sag and ice sleeve measurements. In-field tests are scheduled on a significant span of overhead line in the near future.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"99 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":"132798789","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
A Methodology for Resilience-oriented Planning in the Italian Transmission System 意大利输电系统中弹性导向规划的方法论
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/AEIT53387.2021.9626980
E. Ciapessoni, Diego Cirio Andrea Pitto, P. Faggian, G. Pirovano, F. Marzullo, F. Falorni, A. Lazzarini, Francesca Scavo
{"title":"A Methodology for Resilience-oriented Planning in the Italian Transmission System","authors":"E. Ciapessoni, Diego Cirio Andrea Pitto, P. Faggian, G. Pirovano, F. Marzullo, F. Falorni, A. Lazzarini, Francesca Scavo","doi":"10.23919/AEIT53387.2021.9626980","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9626980","url":null,"abstract":"The increasing frequency and extension of extreme weather events in the last few years require transmission grid planning and operation approaches able to cope with these challenges, thus increasing system resilience. In this regard, initiatives have been launched by transmission and distribution system operators worldwide, often to comply with specific requirements set by regulators. This paper describes a risk-based resilience assessment methodology jointly developed by the Italian TSO and RSE aimed to capture the benefits for system resilience against extreme weather events, brought by grid hardening interventions, with a focus on the two most impacting threats for the Italian transmission system, namely wet snow and wind. The final objective is to support cost-benefit analyses in resilience-boosting plans, as required by the Italian energy regulating entity to all electric utilities. An important target is to include climate change modelling in grid planning, together with the typical planning drivers i.e. security of supply, market efficiency and renewable integration. The case study, focused on a portion of the grid, demonstrates the good matching between the outage return periods calculated for the overhead lines and the actual failure rates derived from historical datasets, as well as the effectiveness of the cost benefit analysis in prioritizing the hardening interventions in case of the two analysed threats.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"13 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":"123942548","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
AEIT 2021 TOC
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-10-04 DOI: 10.23919/aeit53387.2021.9627064
{"title":"AEIT 2021 TOC","authors":"","doi":"10.23919/aeit53387.2021.9627064","DOIUrl":"https://doi.org/10.23919/aeit53387.2021.9627064","url":null,"abstract":"","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"61 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":"121830004","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
An innovative short-term congestion management algorithm for the Italian subtransmission grid: the Zonal-EMS Demo of the OSMOSE Project 意大利亚输电网的创新短期拥塞管理算法:OSMOSE项目的区域ems演示
2021 AEIT International Annual Conference (AEIT) Pub Date : 2021-09-27 DOI: 10.23919/AEIT53387.2021.9627062
Luca Orrù, G. Lisciandrello, Stefano Gliozzi, Marco De Ieso, Antonello Aita, R. Vignali, G. Coletta
{"title":"An innovative short-term congestion management algorithm for the Italian subtransmission grid: the Zonal-EMS Demo of the OSMOSE Project","authors":"Luca Orrù, G. Lisciandrello, Stefano Gliozzi, Marco De Ieso, Antonello Aita, R. Vignali, G. Coletta","doi":"10.23919/AEIT53387.2021.9627062","DOIUrl":"https://doi.org/10.23919/AEIT53387.2021.9627062","url":null,"abstract":"Power grids are getting through great transformations principally driven by massive Renewable Energy Sources penetration. Therefore, Transmission Systems Operators are currently working on building know-how to exploit new flexibility from this new class of generators installed throughout the system. In this context, the European Commission project OSMOSE aims at developing and testing a new Zonal-Energy Management System in order to coordinate innovative resources for congestion management in transmission and sub-transmission power grids, which is going to be tested in a portion of the sub-transmission system in the South of Italy. This paper describes the main architecture of the proposed Energy Management System and the first insights on the ongoing experimentation.","PeriodicalId":138886,"journal":{"name":"2021 AEIT International Annual Conference (AEIT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121990837","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
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