Digital twin for smart electricity distribution networks

Podvalny, S. L.; Vasiljev, Eugeny

doi:10.1088/1757-899x/1035/1/012047

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…Therefore, checking the reliability of power systems has become doubly important. One of the factors that evaluate the reliability index is the energy not supplied (ENS), this index doesn't provide unless an exact environmental parameter model is developed for the reliability analysis [52]. For a more reasonable evaluation of the reliability of the system structures, it is essential to take out state monitoring.…”

Section: ) Reliability and Protectionmentioning

confidence: 99%

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

et al. 2023

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With recent advances in information and communication technology (ICT), the bleeding edge concept of digital twin (DT) has enticed the attention of many researchers to revolutionize the entire modern industries. DT concept refers to a digital representation of a physical entity that is able to reflect its physical behavior by applying platforms and bidirectional interaction of data in real-time. The remarkable deployment of the internet of things in the power grid has led to reliable access to information that improves its performance and equips it with a powerful tool for real-time data management and analysis. This paper aims to trace the continuous investigation and propose practical ideas in originating and developing DT technology, according to various application domains of power systems, and also describes the proposed solutions to deal with the challenges associated with DT. Indeed, with the development of modern cities, different energy layers such as transportation systems, smart grids, and microgrids have emerged facing various issues that challenge the multi-dimensional energy management system. For example, in transportation systems, traffic is a major problem that requires real-time management, planning, and analysis. In power grids, remote data transfer within the grid and also various analyzes needing real data are just some of the current challenges in the field. These problems can be cracked by providing and analyzing a real twin framework in each section. All in all, this paper aims to survey different applications of DT in the development of the various aspects of energy management within a city including transportation systems, power grids, and microgrids. Besides, the security of DT technology based on ML is discussed. It also provides a complete view for the readers to be able to develop and deploy a DT technology for various power system applications.

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Section: ) Reliability and Protectionmentioning

confidence: 99%

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

et al. 2023

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“…Darbali-Zamora et al [27] introduced a real-time DT that optimizes DER operations for distribution voltage regulation and increases the awareness of power system dynamics. Podvalny et al [28] proposed a scalable and evolutionary DT framework to simulate the behavior of a power system under critical events by employing a neural network as a decision support infrastructure. Wu et al [29] introduced a DT of grid batteries to diagnose faults in time and control their usage to extend their lifetime, while Jain et al [30] proposed a virtual replica of solar PVs to promptly detect operational faults and evaluate their power generation performance.…”

Section: Consumer Digital Twinmentioning

confidence: 99%

Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints

et al. 2023

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The upward trend of adopting Distributed Energy Resources (DER) reshapes the energy landscape and supports the transition towards a sustainable, carbon-free electricity system. The integration of Internet of Things (IoT) in Demand Response (DR) enables the transformation of energy flexibility, originated by electricity consumers/prosumers, into a valuable DER asset, thus placing them at the center of the electricity market. In this paper, it is shown how Local Energy Markets (LEM) act as a catalyst by providing a digital platform where the prosumers’ energy needs and offerings can be efficiently settled locally while minimizing the grid interaction. This paper showcases that the IoT technology, which enables control and coordination of numerous devices, further unleashes the flexibility potential of the distribution grid, offered as an energy service both to the LEM participants as well as the external grid. This is achieved by orchestrating the IoT devices through a Consumer Digital Twin (CDT), which facilitates the optimal adjustment of this flexibility according to the consumers’ thermal comfort level constraints and preferences. An integrated LEM-CDT platform is introduced, which comprises an optimal energy scheduler, accounts for the Renewable Energy System (RES) uncertainty, errors in load forecasting, Day-Ahead Market (DAM) feed in/out the tariff, and a fair price settling mechanism while considering user preferences. The results prove that IoT-enabled consumers’ participation in the energy markets through LEM is flexible, cost-efficient, and adaptive to the consumers’ comfort level while promoting both energy transition goals and social welfare. In particular, the paper showcases that the proposed algorithm increases the profits of LEM participants, lowers the corresponding operating costs, addresses efficiently the stochasticity of both energy demand and generation, and requires minimal computational resources.

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“…Therefore, this paper considers the application of digital twin to the longitudinal differential protection of transmission lines. The digital twin can correctly reflect the operation of power equipment, provide virtual distribution network environment data for analysis, and reduce power maintenance costs [9].…”

Section: Introductionmentioning

confidence: 99%

Digital twin-based 5G+ longitudinal differential protection method

Wang¹,

Zhang²,

Cai³

et al. 2023

International Conference on Signal Processing and Communication Technology (SPCT 2022)

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To address the problems of difficult data synchronization and insufficient protection capability of transmission line longitudinal protection, this paper proposes a digital twin solution for transmission line longitudinal differential protection scenarios. A 5G communication system is also introduced to collect and interact with the electrical quantities at both ends of the transmission line. Through the digital twin modeling of the entire transmission line, various electrical quantities of the simulated distribution network transmission line are obtained. And the obtained modeled values are used for current prediction by BP neural network. Experiments demonstrate that the method provides multiple insurances for longitudinal differential protection by analyzing the data generated by the digital twin for prediction.

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Digital twin for smart electricity distribution networks

Cited by 8 publications

References 17 publications

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints

Digital twin-based 5G+ longitudinal differential protection method

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