Research on Fault Risk Ranking and Screening of Distribution Network Based on Uncertainty Theory

Jia, Dongli; Diao, Yinglong; Wang, Cunping; Huang, Renle

doi:10.1109/ciced.2018.8592488

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…So far, numerous and different studies have been done in the field of power outages. For instance, an article screened and ranked fault risks of distribution network (Dongli et al, 2018). Another study used outage data to rank grid components (Nalini Ramakrishna et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Prioritizing power outages causes in different scenarios of the global business network matrix

Moridi

Moosavirad

Mirhosseini

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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Power outage is one of the significant problems for electricity distribution companies. Power outages cause customer dissatisfaction and reduce distribution companies' profits and revenues. Therefore, the electricity distribution companies are trying to moderate the leading causes of the outage. However, the dynamics of environmental conditions create uncertainties that require prioritizing the solutions of outages causes in different situations. Therefore, this study presents a scenario-based approach to prioritize power outage causes. Four case studies have been conducted in four cities of Kerman province in Iran. First, the prioritization criteria and causes of the outage were identified using literature and interviews with experts in this field. Then, the Global Business Network matrix was used to create four possible scenarios. Then, the Best-Worst method and TOPSIS method were applied to weight the prioritizing criteria and prioritize the causes of the outages in different scenarios. The results showed that working in the power network limit zone, as one of the causes of outage in Sirjan and Jiroft cities, has the most priority. Also, the collision of external objects, birds, and annoying trees should be considered by managers as the leading causes of outages in Bam and Kahnuj cities.

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Section: Introductionmentioning

confidence: 99%

Prioritizing power outages causes in different scenarios of the global business network matrix

Moridi

Moosavirad

Mirhosseini

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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“…In recent years, risk assessment technology has been employed in distributed power systems and active power distribution networks. In [20], based on the uncertainty theory, the risk assessment technology was utilized to sort and screen the fault risks in the distribution network to determine the risk with the highest level. In [21], a hierarchical risk assessment method was introduced to properly consider the impacts of active distribution network on risk analysis of the transmission system.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network

Long

Chen

et al. 2020

IEEE Access

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Power loss, consisting of technical loss (TL) and non-technical loss (NTL), reflects the effective utilization rate of energy and the management level of power grids. This paper proposes a data-driven combined algorithm to systematically identify anomalies of power loss in the distribution network, including the abnormal type, time, and position. The detection process contains three stages: abnormal feeder detection, abnormal time detection, and abnormal position detection. The suspected abnormal feeders are first detected from all feeders in the distribution network by the data-driven algorithm based on the daily power supply and electricity sales data. Then, the control chart is employed to further monitor the fluctuation of the power loss of each suspected abnormal feeder and discover its abnormal time. Based on the detected abnormal time, its abnormal position is finally located through the risk assessment technology. Numerous experiments based on the real data show that the proposed data-driven combined algorithm can effectively detect and analyze abnormal power loss in the distribution network.

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Data Driven and Combinational Empowerment Based Operational Assessment for Electric Distribution Transformers

Chen,

Yang

2023

2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)

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Research on Fault Risk Ranking and Screening of Distribution Network Based on Uncertainty Theory

Cited by 3 publications

References 2 publications

Prioritizing power outages causes in different scenarios of the global business network matrix

Prioritizing power outages causes in different scenarios of the global business network matrix

A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network

Data Driven and Combinational Empowerment Based Operational Assessment for Electric Distribution Transformers

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