Near real-time analysis of active distribution networks in a Digital Twin framework: A real case study

被引:6
作者
Bragatto, T. [1 ]
Bucarelli, M. A. [1 ]
Carere, F. [1 ]
Cresta, M. [2 ]
Gatta, F. M. [1 ]
Geri, A. [1 ]
Maccioni, M. [1 ]
Paulucci, M. [2 ]
Poursoltan, P. [1 ]
Santori, F. [2 ]
机构
[1] Sapienza Univ Rome, Dept Astronaut Elect & Energy Engn DIAEE, Rome, Italy
[2] ASM Terni SpA, Terni, Italy
基金
欧盟地平线“2020”;
关键词
Digital Twin; Distribution network; Flexibility; State estimation; Near real-time analysis; DISTRIBUTION-SYSTEMS; CHALLENGES; MANAGEMENT; MODEL;
D O I
10.1016/j.segan.2023.101128
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 growth of distributed generation and the need of increasing Distribution Network (DN) resilience is encouraging Distribution System Operators (DSO) to increase awareness about the real-time status of the network as well as to actively manage flexible energy resources for improving system performances. In this context, Digital Twin (DT) is an enabling technology for a low-cost distributed framework that supports DN management. DT in the power system can be exploited taking advantage of the successful experiences in other sectors (e.g., smart manufacturing and building automation). This article presents a real case study of a DT development and its integration with an existing DN. The DT system architecture is based on the recent standards whilst main DT components have been originally developed, enabling near real-time services such as data collection, state estimation, and flexibility calculator. The individual performances of the integrated tools and the reliability of DT were tested and validated during one month of continuous operation. During the operation, good service continuity and accuracy performances were reported. Results from the flexibility calculator show the effectiveness of the proposed strategies that can improve the energy efficiency of the DN by increasing local self-consumption of Renewable Energy Sources (RES) production.& COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
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页数:17
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