A Distributed Adjustable Resource Credit Risk Evaluation Model Based on Behavior-Credit-Risk Transmission Mechanism

Based on the construction of the credit risk system in the electricity market, this paper proposes a credit risk evaluation model that considers distributed adjustable resources such as conventional generators, energy storage operators, controllable loads, and electric vehicles. Firstly, a market entity credit rating index system and method that takes into account transaction behaviors are constructed. Secondly, the traditional credit metrics model is specifically improved to build a credit risk evaluation model suitable for multiple entities in the electricity market. Finally, through case study analysis, the credit risk value is quantitatively measured, and key influencing factors are studied through sensitivity analysis, verifying the effectiveness of the model.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990731
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00

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A Distributed Adjustable Resource Credit Risk Evaluation Model Based on Behavior-Credit-Risk Transmission Mechanism

Jian Zhang, Xidong Hui, Han Ye, He Xiaoyang et al.
Financial Distress and Bankruptcy Prediction
article

A Distributed Adjustable Resource Credit Risk Evaluation Model Based on Behavior-Credit-Risk Transmission Mechanism

Jian Zhang, Xidong Hui, Han Ye, He Xiaoyang, Li Jian, Benhua Qian
article en

Abstract

Based on the construction of the credit risk system in the electricity market, this paper proposes a credit risk evaluation model that considers distributed adjustable resources such as conventional generators, energy storage operators, controllable loads, and electric vehicles. Firstly, a market entity credit rating index system and method that takes into account transaction behaviors are constructed. Secondly, the traditional credit metrics model is specifically improved to build a credit risk evaluation model suitable for multiple entities in the electricity market. Finally, through case study analysis, the credit risk value is quantitatively measured, and key influencing factors are studied through sensitivity analysis, verifying the effectiveness of the model.

Northeastern University (CN)
Electric Power Research Institute
Decent work and economic growth
Openalex Percentile: Top 50%
Financial Distress and Bankruptcy Prediction
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