State estimation of distribution network based on hybrid measurement combined with multi-source asynchronous data

Wu, Zhenjie; Ye, Lin; Liao, Pei Hung; Li, Chengda; Zhou, Zhengyang; Li, Suirong; Sun, Jianfeng

doi:10.1016/j.egyr.2022.03.195

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…() E hx represents the height expectation of node x in the isolated tree, and () cn represents the average spatial distance of outlying points in the isolated tree, which is calculated as shown formula (2) [7][8][9] .…”

Section: A New Distribution Network Line Loss Anomaly Fraction Calcul...mentioning

confidence: 99%

A new distribution network alert state adjustable potential assessment method based on improved isolated forest algorithm

Liu,

Zhou,

Zhu

2023

Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023)

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The current conventional distribution network alert state adjustable potential assessment method mainly obtains the assessment matrix by constructing the affiliation function to achieve the adjustable potential assessment, which leads to poor assessment accuracy due to the lack of analysis of line loss abnormal state. In this regard, a new distribution network alert state adjustable potential assessment method based on the improved isolated forest algorithm is proposed. Combined with the isolated forest algorithm, a random hyperplane cutting space is constructed to calculate the line loss anomaly fraction, and the value is used as one of the evaluation indexes to construct a potential evaluation index system, and the actual values of different indexes are calculated to realize the adjustable potential evaluation. In the experiments, the proposed method is verified for the evaluation accuracy. The experimental results show that the error value between the evaluation score and the actual result is small when the proposed method is used to evaluate the adjustable potential of the alert state of the distribution network, which has a more desirable evaluation accuracy.

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Section: A New Distribution Network Line Loss Anomaly Fraction Calcul...mentioning

confidence: 99%

A new distribution network alert state adjustable potential assessment method based on improved isolated forest algorithm

Liu,

Zhou,

Zhu

2023

Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023)

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show abstract

“…where G i represents the efficacy parameter generated after the distribution network planning is completed; f (ζ i ) represents the orderliness of the planning result, the value of which ranges from 0 to 1, and the closer the value is to integer, the higher the orderliness of the planning result at this moment [18]. G max and G min represent the steady-state values of the planning items in the case of maximum and minimum planning orderliness, respectively.…”

Section: Traffic Network Model Construction and Planning Project Bene...mentioning

confidence: 99%

Distribution Network Planning Method considering the Coupling of Transportation Network and Distribution Network

Song,

Li,

Jiang

et al. 2023

SCPE

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This paper introduces a novel distribution network planning method that addresses the limitations of conventional approaches. The existing methods primarily focus on optimizing component objectives using reliability analysis, which results in inadequate operational power control performance due to neglecting the coupling degree analysis of distribution network subprojects. To overcome this limitation, the proposed method incorporates the coupling of the traffic and distribution networks into the planning process. The method involves modeling the transportation network and analyzing the coupling characteristics of the planning items. Specifically, the energy efficiency coupling degree is calculated to assess the degree of coupling. Based on this analysis, the planning nodes are strategically deployed, and a comprehensive planning model is constructed. The model is then subjected to constraints and solved to obtain an optimal distribution network planning scheme. To evaluate the effectiveness of the proposed method, experiments are conducted to assess its operational power control capability. The experimental results demonstrate that when the proposed method is employed for distribution network planning, it reduces operating power and achieves a more desirable planning outcome. The novelty of this work lies in integrating the coupling analysis of the traffic network and the distribution network into the planning process. Considering the interdependencies between these networks, the proposed method enables a more comprehensive and efficient distribution network planning scheme. This approach enhances operational power control performance and improves the overall effectiveness of distribution network planning.

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Pseudo-metric modelling of distribution network state estimation based on CNN-BiLSTM network and customized HGGA algorithm

Qiu,

Ding,

Zhang

et al. 2024

Measurement

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State estimation of distribution network based on hybrid measurement combined with multi-source asynchronous data

Cited by 3 publications

References 9 publications

A new distribution network alert state adjustable potential assessment method based on improved isolated forest algorithm

A new distribution network alert state adjustable potential assessment method based on improved isolated forest algorithm

Distribution Network Planning Method considering the Coupling of Transportation Network and Distribution Network

Pseudo-metric modelling of distribution network state estimation based on CNN-BiLSTM network and customized HGGA algorithm

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