Based on The Multi-index Quantitative Evaluation Model of Health Status of Distributed Distribution Network

With the rapid development of smart grids, accurate and timely assessment of the health status of distribution networks is crucial. This article proposes a multi-indicator quantitative evaluation model based on the health status of distributed distribution networks. The model incorporates diverse pivotal metrics about the distribution network, encompassing voltage stability, equipment senescence, and fault occurrence frequencies. Leveraging sophisticated data analytics techniques facilitates a quantitative appraisal of the network’s overall health status. To delve deeper into the efficacy of intelligent distribution network situational awareness, this study presents a comprehensive evaluation framework encompassing a robust index system and evaluation methodologies. The comprehensive evaluation index system includes five primary indicators, as well as a total of 17 secondary indicators, to objectively quantify the effectiveness of intelligent distribution network situational awareness. This paper uses a subjective and objective mixed evaluation method based on the binomial coefficient and multi-objective planning methods to weight the comprehensive evaluation index system. The comprehensive evaluation model for the implementation effect of intelligent distribution network situational awareness proposed in this article objectively and accurately reflects the operation status of the distribution network, eliminates the one-sidedness of a single evaluation method, effectively improves the observability of the intelligent distribution network, and realizes the analysis of weak links and potential risks in the distribution network.

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Publication Details

Journal
Distributed Generation & Alternative Energy Journal
Published
2024-12-24
DOI
https://doi.org/10.13052/dgaej2156-3306.3952
Citations
1
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.21
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Based on The Multi-index Quantitative Evaluation Model of Health Status of Distributed Distribution Network

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Based on The Multi-index Quantitative Evaluation Model of Health Status of Distributed Distribution Network

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article en
1 citations

Abstract

With the rapid development of smart grids, accurate and timely assessment of the health status of distribution networks is crucial. This article proposes a multi-indicator quantitative evaluation model based on the health status of distributed distribution networks. The model incorporates diverse pivotal metrics about the distribution network, encompassing voltage stability, equipment senescence, and fault occurrence frequencies. Leveraging sophisticated data analytics techniques facilitates a quantitative appraisal of the network’s overall health status. To delve deeper into the efficacy of intelligent distribution network situational awareness, this study presents a comprehensive evaluation framework encompassing a robust index system and evaluation methodologies. The comprehensive evaluation index system includes five primary indicators, as well as a total of 17 secondary indicators, to objectively quantify the effectiveness of intelligent distribution network situational awareness. This paper uses a subjective and objective mixed evaluation method based on the binomial coefficient and multi-objective planning methods to weight the comprehensive evaluation index system. The comprehensive evaluation model for the implementation effect of intelligent distribution network situational awareness proposed in this article objectively and accurately reflects the operation status of the distribution network, eliminates the one-sidedness of a single evaluation method, effectively improves the observability of the intelligent distribution network, and realizes the analysis of weak links and potential risks in the distribution network.

Distributed Generation & Alternative Energy Journal
Inner Mongolia Electric Power (China) (CN), Anshun University (CN), Guizhou Electric Power Design and Research Institute (CN), Power Grid Corporation (India) (IN)
Openalex Percentile: Top 43%
Smart Grid and Power Systems
0.21
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