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

Authors

  • Yao Zhang Electric Power Dispatching and Control Center, Department of Distribution Control, Guizhou Power Grid, Guiyang, 550000, China
  • Zhongqiang Zhou Electric Power Dispatching and Control Center, Automation Department, Guizhou Power Grid, Guiyang, 550000, China
  • Yin Lian Xingyi Power Supply Bureau, Electric Power Dispatching and Control Center, Xingyi, 562400, China
  • Kun Zhou Bijie Power Supply Bureau, Electric Power Dispatching and Control Center, Bijie, 551700, China
  • Qihong Shi Anshun Power Supply Bureau, Electric Power Dispatching and Control Center, Anshun, 561000, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3952

Keywords:

Health index, status assessment, distribution network risk, multi-index quantitative evaluation

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.

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Author Biographies

Yao Zhang, Electric Power Dispatching and Control Center, Department of Distribution Control, Guizhou Power Grid, Guiyang, 550000, China

Yao Zhang was born in 1988 in Guizhou, and holds a Master’s degree in Engineering. He graduated from the University of Nottingham, UK, in 2014. Currently, he is employed at Electric Power Dispatching and Control Center, Department of Distribution Control, Guizhou Power Grid, primarily engaged in specialized technical work related to distribution network scheduling and operations.

Zhongqiang Zhou, Electric Power Dispatching and Control Center, Automation Department, Guizhou Power Grid, Guiyang, 550000, China

Zhongqiang Zhou was born in 1994 in Guizhou, and also possesses a Master’s degree in Engineering. He completed his studies at Guizhou University in 2019. He is currently working at Electric Power Dispatching and Control Center, Automation Department, Guizhou Power Grid, focusing mainly on specialized technical work in distribution automation.

Yin Lian, Xingyi Power Supply Bureau, Electric Power Dispatching and Control Center, Xingyi, 562400, China

Yin Lian was born in 1986 in Guizhou, China, and has earned a Master’s degree in Engineering. He graduated from Guizhou University in 2012. Presently, he works at the Xingyi Power Supply Bureau, Electric Power Dispatching and Control Center, where he is primarily involved in specialized technical tasks related to distribution automation.

Kun Zhou, Bijie Power Supply Bureau, Electric Power Dispatching and Control Center, Bijie, 551700, China

Kun Zhou was born in 1989 in Yunnan, China, holding a Bachelor’s degree in Engineering. He graduated from North China Electric Power University in 2012. He is now employed at the Bijie Power Supply Bureau, Electric Power Dispatching and Control Center, primarily working on distribution network dispatch automation.

Qihong Shi, Anshun Power Supply Bureau, Electric Power Dispatching and Control Center, Anshun, 561000, China

Qihong Shi, born in 1994 in Guizhou, China, holds a Bachelor’s degree in Engineering. He graduated from Shanghai University of Electric Power in 2016. Currently, he works at the Anshun Power Supply Bureau, Electric Power Dispatching and Control Center, mainly dedicated to specialized technical work in distribution automation.

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Published

2024-12-24

How to Cite

Zhang, Y. ., Zhou, Z. ., Lian, Y. ., Zhou, K. ., & Shi, Q. . (2024). Based on The Multi-index Quantitative Evaluation Model of Health Status of Distributed Distribution Network. Distributed Generation &Amp; Alternative Energy Journal, 39(05), 961–988. https://doi.org/10.13052/dgaej2156-3306.3952

Issue

Section

Renewable Power & Energy Systems