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Risk Rating Framework of Power Grid Business Entities Based on AHP

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Hui GuoAuthors Info & Claims

ACM TURC '21: Proceedings of the ACM Turing Award Celebration Conference - China

Pages 273 - 277

https://doi.org/10.1145/3472634.3474084

Published: 02 October 2021 Publication History

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Abstract

Aiming at the influence factors of abnormal business entities in power grid system and the harm degree of alarm events, this paper proposes a risk assessment framework of power grid business entities based on AHP. Firstly, the machine learning algorithm is used to detect the abnormal events. Secondly, the AHP is used to determine the weight of each influencing factor of power grid system risk. The probability of abnormal events under the joint action of different influencing factors is calculated, and the risk level of the system is quantified by using the definition of risk quantification. The experimental results show that the framework can effectively evaluate the risk of power grid system and provide decision support for system managers.

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Cited By

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Li YZhang BWang BLi JZhang CLiao J(2024)Operational Risk Evaluation of Electricity Spot Market with High-Penetration Renewable Energy Using Sensitivity Analysis2024 4th Power System and Green Energy Conference (PSGEC)10.1109/PSGEC62376.2024.10721156(854-858)Online publication date: 22-Aug-2024
https://doi.org/10.1109/PSGEC62376.2024.10721156

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ACM TURC '21: Proceedings of the ACM Turing Award Celebration Conference - China

July 2021

284 pages

ISBN:9781450385671

DOI:10.1145/3472634

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 02 October 2021

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ACM TURC 2021: ACM Turing Award Celebration Conference - China ( ACM TURC 2021)

July 30 - August 1, 2021

Hefei, China

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Li YZhang BWang BLi JZhang CLiao J(2024)Operational Risk Evaluation of Electricity Spot Market with High-Penetration Renewable Energy Using Sensitivity Analysis2024 4th Power System and Green Energy Conference (PSGEC)10.1109/PSGEC62376.2024.10721156(854-858)Online publication date: 22-Aug-2024
https://doi.org/10.1109/PSGEC62376.2024.10721156

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Research on the Risk Assessment Method of Vicarious Management Corporation Based on the Fuzzy AHP Method

Risk assessment method for power grid communication link failure based on fuzzy comprehensive assessment

Risk assessment and mitigation for electric power sectors: A developing country's perspective

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