A novel Target Capacities Identification Methodology: the Italian Approach

Luca Piemonti, C. Gadaleta, Salvatore Moreno Gargiulo, M. Migliori
{"title":"A novel Target Capacities Identification Methodology: the Italian Approach","authors":"Luca Piemonti, C. Gadaleta, Salvatore Moreno Gargiulo, M. Migliori","doi":"10.23919/AEIT50178.2020.9241089","DOIUrl":null,"url":null,"abstract":"In order to ensure power system reliability and security in long term scenario, the identification of the costeffective interconnection levels is one of the main objectives in the modern network planning framework. Terna, the Italian Transmission System Operator (TSO), with the goal of defining the efficient target capacities for each significant market section of the Italian power system developed a novel iterative methodology. The aim to this paper is to provide an exhaustive presentation of the procedure and to show the results obtained for the critical section Centre South–South. In particular, the price spread and the number of congestion hours resulting from market simulations are the main parameters investigated to decide which sections/borders are suitable for additional transmission capacity implementation. The corresponding benefits must be verified by the means of market and network analysis in order to demonstrate the cost-efficiency for the system. The analyses were carried out in two different contrasting future energy scenarios in order to obtain the related different development strategies.","PeriodicalId":6689,"journal":{"name":"2020 AEIT International Annual Conference (AEIT)","volume":"42 11","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 AEIT International Annual Conference (AEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/AEIT50178.2020.9241089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In order to ensure power system reliability and security in long term scenario, the identification of the costeffective interconnection levels is one of the main objectives in the modern network planning framework. Terna, the Italian Transmission System Operator (TSO), with the goal of defining the efficient target capacities for each significant market section of the Italian power system developed a novel iterative methodology. The aim to this paper is to provide an exhaustive presentation of the procedure and to show the results obtained for the critical section Centre South–South. In particular, the price spread and the number of congestion hours resulting from market simulations are the main parameters investigated to decide which sections/borders are suitable for additional transmission capacity implementation. The corresponding benefits must be verified by the means of market and network analysis in order to demonstrate the cost-efficiency for the system. The analyses were carried out in two different contrasting future energy scenarios in order to obtain the related different development strategies.
一种新的目标能力识别方法:意大利方法
为了保证电力系统长期的可靠性和安全性,确定具有成本效益的互联水平是现代电网规划框架的主要目标之一。意大利输电系统运营商Terna (TSO)开发了一种新的迭代方法,目的是为意大利电力系统的每个重要市场部分确定有效的目标容量。本文的目的是详尽地介绍这一程序,并展示为南南中心关键部门所取得的成果。特别是,市场模拟产生的价差和拥堵小时数是决定哪些路段/边界适合额外传输容量实施的主要参数。为了证明该系统的成本效益,必须通过市场和网络分析来验证相应的效益。通过对两种不同的未来能源情景进行对比分析,得出相关的不同发展策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信