Research on The Low-voltage Governance and Evaluation Method for New Distribution System Based on the Digital Twin

Hu, Ran; Shang, Longlong; Ma, Nan; Huang, Zhanhua; Ou, Mingyu

doi:10.1109/psgec54663.2022.9881059

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…The traditional fuzzy comprehensive evaluation method is highly subjective, so it is necessary to introduce quantitative evaluation method to scientifically judge the feasibility of indicators. This paper introduces entropy weight method to evaluate the above index [5][6][7][8]12] .The technical road-map for the evaluation is shown in Figure 2. -Find the weight of the judgment matrix S and form the weight matrix.The calculation formula is shown in (10):…”

Section: Evaluation Methodologymentioning

confidence: 99%

Research on Benefit Assessment of Multi-scenario Integrated Energy System

Liu

Yan

et al. 2023

E3S Web of Conf.

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With the rapid development of economy, China’s energy is in the stage of rapid transformation, and the market demand for comprehensive energy service in the whole society is increasing. Therefore, China needs to vigorously promote the construction of a comprehensive energy system energy supply mode with new energy as the main body, so as to realize the reasonable allocation of resources and the high proportion of clean energy consumption. To effectively evaluate the quality of the system operating benefits, this paper with a variety of typical comprehensive energy system as the background, through the establishment of comprehensive energy system scenario operating benefit evaluation index system, build index based on hierarchical analysis method weight model and entropy method of fuzzy comprehensive evaluation model, evaluate the benefits of various types of comprehensive energy system.

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Section: Evaluation Methodologymentioning

confidence: 99%

Research on Benefit Assessment of Multi-scenario Integrated Energy System

Liu

Yan

et al. 2023

E3S Web of Conf.

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“…Digital twin technology includes the construction of digital space models and various techniques for simulation, analysis, prediction and control [12]. To realize the access and management of data sources and business modules of the digital twin, the digital twin framework shown in Figure 1 is designed [13]. In this, the intelligent perception system establishes the data interaction between the actual physical system and the digital twin model; the intelligent application system builds various advanced digital applications based on the digital twin model.…”

Section: Digital Twin Frameworkmentioning

confidence: 99%

An Intelligent Location Method for Power System Oscillation Sources Based on a Digital Twin

Yang,

Wang,

Gao

et al. 2023

Electronics

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Aiming at the difficult problem of broadband oscillation localization in power systems, the intelligent localization method of an oscillation source based on a digital twin is proposed, and the oscillation source localization system is thus constructed. Firstly, a digital twin-based oscillation source localization method and its system architecture are proposed. Furthermore, an intelligent positioning method of the oscillation source, based on data-driven and mechanism fusion, is proposed. It includes three steps: oscillation signal preprocessing, oscillation modal analysis and oscillation source localization. For the oscillation signal preprocessing, the generative adversarial imputation network is used to repair the missing samples, and the super-resolution technique is used to realize the super-resolution measurement of broadband oscillation. In the oscillation modal analysis, the spectrum of the oscillation signal is extracted using the fast Fourier transform. To accurately locate the oscillation source, branch potential energy is used as the input to the data-driven model, such as LSTM and CNN. Finally, an oscillation source localization system is developed based on the digital twin workshop CloudPSS-XStudio, which can locate the oscillation source quickly and accurately.

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“…A low-voltage distribution station area is the "last mile" of a smart grid to connect users, which is also the core of reliable power supply guarantee (Noh et al, 2018;Wu et al, 2022). Transparent monitoring in the distribution station area can ensure the safe and stable operation of the power system, improve the operational efficiency of the power system, and reduce energy waste and operating costs (Hu et al, 2022;Liu et al, 2022). At the same time, transparent monitoring can also increase the reliability and sustainability of the power system, improve users' electricity experience, and ensure the electricity demand of all sectors 10.3389/fenrg.2023.1283775 of society.…”

Section: Introductionmentioning

confidence: 99%

Confidence relative off-targets distance-based multi-dimensional transparency evaluation of distribution station area

Ren,

Li,

et al. 2024

Front. Energy Res.

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With the large-scale integration of distributed renewable energy into low-voltage distribution station areas, rapidly growing services put forward new requirements on transparent monitoring. In order to accurately and objectively quantify the transparency of various distribution station areas and measure the impact of different dimensional indexes on the transparency evaluation of distribution station areas, this paper proposes a confidence relative off-target distance-based multi-dimensional transparency evaluation method. First, a multi-dimensional transparency evaluation index system with electrical and communication integration is constructed. Second, an improved gray target model combining both positive and negative target vectors is established to realize bi-directional quantitative analysis. Then, the relative off-target distance is calculated based on the endowment coefficient by leveraging both subjective and objective weights. Finally, the confidence of the relative off-target distance is calculated based on fuzzy entropy to improve the reliability of transparency evaluation. The simulation results show that this method can effectively distinguish the transparency gap between different distribution station areas, identify the single dimensional index with the greatest contribution or potential, and verify the effectiveness of the proposed method applied to the transparency evaluation of distribution station areas.

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Research on The Low-voltage Governance and Evaluation Method for New Distribution System Based on the Digital Twin

Cited by 6 publications

References 6 publications

Research on Benefit Assessment of Multi-scenario Integrated Energy System

Research on Benefit Assessment of Multi-scenario Integrated Energy System

An Intelligent Location Method for Power System Oscillation Sources Based on a Digital Twin

Confidence relative off-targets distance-based multi-dimensional transparency evaluation of distribution station area

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