A Data-driven Approach to Grid Impedance Identification for Impedance-based Stability Analysis under Different Frequency Ranges

Li, Chendan; Molinas, Marta; Fosso, Olav Bjarte; Qin, Nan; Zhu, Lin

doi:10.1109/ptc.2019.8810402

Cited by 12 publications

(3 citation statements)

References 17 publications

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“…In the distribution network, the voltage often fluctuates due to the uncertainty of loads everywhere. The voltage fluctuation curves of the loads with relatively close electrical distance are more similar (high correlation), while the voltage fluctuation curves of the loads with relatively far electrical distance are less similar (low correlation) (Li et al, 2019). By comparing the correlation coefficient between voltage curves of smart electricity meters of power users at different nodes, the topological connection between two users is verified.…”

Section: Topology Identification Methods Of Low-voltage Distribution ...mentioning

confidence: 86%

Topology and Impedance Identification Method of Low-Voltage Distribution Network Based on Smart Meter Measurements

Chai

2022

Front. Energy Res.

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In recent years, distributed photovoltaic facilities and distributed energy storage are widely connected to a low-voltage distribution network, which makes the topology of the low-voltage distribution network change faster, and the online identification and monitoring of the impedance of each branch are becoming more difficult. With the widespread installation of new distribution automation terminals and smart electricity meters, the technical gap of power data collection has been filled, the state perception ability of the distribution network has been improved, and the data support for further exploration of the topology and impedance of the distribution network has been provided. Therefore, the low-voltage distribution network topology and impedance identification method based on smart meter measurements, the physical topology model of distribution transformer-branch-meter box-user and the impedance exclusion model are proposed. Line loss and branch node power flow are calculated on the basis of the two models. Finally, the low-voltage distribution network topology recognition algorithm and power flow partition backtracking impedance estimation technology are developed based on the data mining method of distribution transformer terminal and smart meter. The example results show that the physical topology model of distribution transformer-branch-meter box-user and the impedance exclusion model proposed in this study can effectively identify the branch topology and impedance distribution in the low-voltage distribution network with a large amount of measurement information, realize the online perception of the distribution network, and provide the basis for the fine management of the power grid and line loss.

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Section: Topology Identification Methods Of Low-voltage Distribution ...mentioning

confidence: 86%

Topology and Impedance Identification Method of Low-Voltage Distribution Network Based on Smart Meter Measurements

Chai

2022

Front. Energy Res.

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“…It is noticeable that the current state of research is primarily characterized by partly simulation-based investigations and laboratory conditions [31,32,28]. Measurement campaigns, however, indicate that this assumption, especially for frequencies above 2 kHz, is not practical or realistic [30,33].…”

Section: Previous Applications Of Impedance-based Methodsmentioning

confidence: 99%

Impedance-Based Method for Predictive Stability Assessment

Schräder,

Kaiser,

Jordan

et al. 2024

Proc Tagung Zukünftige Stromnetze | Future Power Grids Conf

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Impedance-based analysis methods enable a more specific and earlier foundation for assessing harmonic stability in decentralized converter-based power plants compared to the conventional compliance testing in the grid connection process. Essentially, they can be implemented as black-box model approaches without the necessity to disclose internal control models. Initially, only knowledge of the input impedances of the planned grid connection point and the planned PV system is required for application. For this purpose, the method of impedance spectroscopy for inverters has already been developed as a means to determine the effective impedance profile and the internal harmonic sources of inverters, allowing for the description of the frequency-dependent behavior of individual units. The time- and frequency-dependent grid impedance at the grid connection point (GCP) has also been successfully measured in several campaigns on medium and low-voltage grids. Through the coordinated application of both measurement methods, a predictive harmonic assessment is intended in the future, ensuring high planning reliability and grid quality even in grids with a high penetration of power electronics-coupled systems. This paper provides an overview of the current state of research on impedance-based stability criteria and presents measurement methods for practical implementation. Furthermore, it outlines remaining open questions until application in the field.

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“…Other data-driven models include the impedance model where the output impedance is obtained by measurements through intrusive or non-intrusive methods [203], [204]. The impedance model is used for modeling and stability analysis of power systems, including CDPS.…”

Section: E Data-driven Modelsmentioning

confidence: 99%

Review of Dynamic and Transient Modeling of Power Electronic Converters for Converter Dominated Power Systems

et al. 2021

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In response to national and international carbon reduction goals, renewable energy resources like photovoltaics (PV) and wind, and energy storage technologies like fuel-cells are being extensively integrated in electric grids. All these energy resources require power electronic converters (PECs) to interconnect to the electric grid. These PECs have different response characteristics to dynamic stability issues compared to conventional synchronous generators. As a result, the demand for validated models to study and control these stability issues of PECs has increased drastically. This paper provides a review of the existing PEC model types and their applicable uses. The paper provides a description of the suitable model types based on the relevant dynamic stability issues. Challenges and benefits of using the appropriate PEC model type for studying each type of stability issue are also presented.

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A Data-driven Approach to Grid Impedance Identification for Impedance-based Stability Analysis under Different Frequency Ranges

Cited by 12 publications

References 17 publications

Topology and Impedance Identification Method of Low-Voltage Distribution Network Based on Smart Meter Measurements

Topology and Impedance Identification Method of Low-Voltage Distribution Network Based on Smart Meter Measurements

Impedance-Based Method for Predictive Stability Assessment

Review of Dynamic and Transient Modeling of Power Electronic Converters for Converter Dominated Power Systems

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