Online Assessment of Flexibility on Active Distribution Network Planning through Digital Twin

Feng, Zejian; Cui, Quansheng; Zhang, Yan; Chi, Zhongjun; Zhang, Xuan; Bai, Xiaoqing; Zhu, Shouzhen

doi:10.1109/icecie50279.2020.9309627

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…Reducing the research perimeter, in [20], the attention was focused on distribution network (DN) and the need to create an adequate interface able to gather all the information coming from sensors. Additionally, the authors in [21,22] focused their work on the DN issues. Their objective was to increase the flexibility of the grid connecting both the local network and the regional power system.…”

Section: The Power Gridmentioning

confidence: 99%

A comprehensive review on digital twins for smart energy management system

Lamagna¹,

Groppi²,

Nezhad³

et al. 2021

Int. J. EQ

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Energy systems digitalisation represents the energy sector's future, and Digital Twins represent the most advanced and complete way to monitor and optimally manage a complex system such as the upcoming solutions. Those latter will comprehend several energy generators, traditional and/or from renewable energy sources (RESs), different energy storage systems using several energy vectors and that interconnect different energy-consuming sectors (power, thermal, transport sectors) and that fully exploit the potential synergies offered by such interconnected system. Nevertheless, since the first conceptualisation of digital twins in the first years of the 21st century, its use has not started yet for different reasons that are affecting the adoption of this game-changer approach. Hence, what are the main barriers that are holding back the adoption of digital twins in smart energy systems? The present review paper answers this research question while discussing the case studies that can be found in literature and analysing the different approaches and the system architectures that have been tested or simply idealised. This paper provides a basis for future research that aims at applying the digital twin concept in the energy sector and particularly for power grid management. It deals with the challenges of big data management, the ones related to real-time measurements and continuous communication between the real-world system and its digital twin, the investment for measuring systems, the issues connected with the use of large data centres and the correlated energy-related challenges and doubts. The review analyses the challenges that have been encountered so far, the proposed solutions and the opportunities that such a 'work in progress' topic offers.

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Section: The Power Gridmentioning

confidence: 99%

A comprehensive review on digital twins for smart energy management system

Lamagna¹,

Groppi²,

Nezhad³

et al. 2021

Int. J. EQ

View full text Add to dashboard Cite

show abstract

“…This way, the information from the physical world can be included in the virtual environment. As for the DT, instead, it enhances the previous concept, upgrading it to the level at which the information obtained in the virtual world is used to improve the physical one, and vice versa [35][36][37][38]. In other words, there is a real-time interaction and mutual information exchange between the virtual and physical worlds.…”

Section: Introductionmentioning

confidence: 99%

On the Importance of Characterizing Virtual PMUs for Hardware-in-the-Loop and Digital Twin Applications

Mingotti

Costa

Cavaliere

et al. 2021

Sensors

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In recent years, the introduction of real-time simulators (RTS) has changed the way of researching the power network. In particular, researchers and system operators (SOs) are now capable of simulating the complete network and of making it interact with the real world thanks to the hardware-in-the-loop (HIL) and digital twin (DT) concepts. Such tools create infinite scenarios in which the network can be tested and virtually monitored to, for example, predict and avoid faults or energy shortages. Furthermore, the real-time monitoring of the network allows estimating the status of the electrical assets and consequently undertake their predictive maintenance. The success of the HIL and DT application relies on the fact that the simulated network elements (cables, generation, accessories, converters, etc.) are correctly modeled and characterized. This is particularly true if the RTS acquisition capabilities are used to enable the HIL and the DT. To this purpose, this work aims at emphasizing the role of a preliminary characterization of the virtual elements inside the RTS system, experimentally verifying how the overall performance is significantly affected by them. To this purpose, a virtual phasor measurement unit (PMU) is tested and characterized to understand its uncertainty contribution. To achieve that, firstly, the characterization of a virtual PMU calibrator is described. Afterward, the virtual PMU calibration is performed, and the results clearly highlight its key role in the overall uncertainty. It is then possible to conclude that the characterization of the virtual elements, or models, inside RTS systems (omitted most of the time) is fundamental to avoid wrong results. The same concepts can be extended to all those fields that exploit HIL and DT capabilities.

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