Functional Scalability and Replicability Analysis for Smart Grid Functions: The InteGrid Project Approach

被引:2
|
作者
Menci, Sergio Potenciano [1 ,2 ]
Bessa, Ricardo J. [3 ]
Herndler, Barbara [1 ]
Korner, Clemens [1 ]
Rao, Bharath-Varsh [1 ]
Leimgruber, Fabian [1 ]
Madureira, Andre A. [3 ]
Rua, David [3 ]
Coelho, Fabio [3 ]
Silva, Joao, V [3 ]
Andrade, Jose R. [3 ]
Sampaio, Gil [3 ]
Teixeira, Henrique [3 ]
Simoes, Micael [3 ]
Viana, Joao [3 ]
Oliveira, Luiz [3 ]
Castro, Diogo [3 ]
Krisper, Ursula [4 ]
Andre, Ricardo [5 ]
机构
[1] Austrian Inst Technol AIT, Elect Energy Syst, Giefinggasse 4, A-1210 Vienna, Austria
[2] Univ Luxembourg, SnT Interdisciplinary Ctr Secur Reliabil & Trust, L-1855 Luxembourg, Luxembourg
[3] INESC TEC Inst Syst & Comp Engn Technol & Sci, P-4200465 Porto, Portugal
[4] Elektro Ljubljana Dd, SI-1000 Ljubljana, Slovenia
[5] E REDES, P-1050044 Lisbon, Portugal
基金
欧盟地平线“2020”;
关键词
smart grid; scalabilty and replicabilty analysis; flexibility aggregation; flexibility impact; flexibility tools and SGAM;
D O I
10.3390/en14185685
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The evolution of the electrical power sector due to the advances in digitalization, decarbonization and decentralization has led to the increase in challenges within the current distribution network. Therefore, there is an increased need to analyze the impact of the smart grid and its implemented solutions in order to address these challenges at the earliest stage, i.e., during the pilot phase and before large-scale deployment and mass adoption. Therefore, this paper presents the scalability and replicability analysis conducted within the European project InteGrid. Within the project, innovative solutions are proposed and tested in real demonstration sites (Portugal, Slovenia, and Sweden) to enable the DSO as a market facilitator and to assess the impact of the scalability and replicability of these solutions when integrated into the network. The analysis presents a total of three clusters where the impact of several integrated smart tools is analyzed alongside future large scale scenarios. These large scale scenarios envision significant penetration of distributed energy resources, increased network dimensions, large pools of flexibility, and prosumers. The replicability is analyzed through different types of networks, locations (country-wise), or time (daily). In addition, a simple replication path based on a step by step approach is proposed as a guideline to replicate the smart functions associated with each of the clusters.
引用
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页数:39
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