The Analysis of Credit Management in Guangdong Electricity Market

Tian, Lin; Gan, Beiyu; Sun, Qian; Sheng, Jiansheng; Qin, Jie; Duan, Qingang; Tianyao, Ji

doi:10.1109/powercon.2018.8601592

Cited by 5 publications

(1 citation statement)

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“…At present, scholars have researched on the assessment and prevention of electricity spot market risk. Research on the identification of risks in the electricity spot market mainly focuses on the market force control and credit risk, price risk, forecast error risk and so on [1][2][3][4] . Liu, Y et al investigated the stability of the spot market, and estimated the relationship between prices and demand [5] .…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Risk Assessment Model of Electricity Spot Market Considering Local Grid and Incremental Distribution Network

Hu,

Zhou,

et al. 2024

Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29,

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Under the background of incremental distribution reform, the local grid and the incremental distribution network will directly participate in the electricity spot market, and compete with main power supplies in the market segments of quotation, clearing, pricing, and settlement, etc. Local grid enterprises and incremental network enterprises will also directly participate in the competition of the spot market, which will exacerbate the risks of price fluctuation, information disclosure, and network congestion in the spot market. In order to help enterprises identify and evaluate market risks, develop scientific risk prevention strategies, firstly, the risk impact mechanism of local grids and incremental distribution networks on the electricity spot market was analyzed; then, indicators were selected from five dimensions, such as competing risk and price risk, and a risk assessment model of the electricity spot market with consideration of local grids and incremental distribution networks was established; finally, strategic suggestions for preventing market risks were put forward, which provide a reference for rationally controlling the market risk of the spot market and promoting the safe and stable operation of the market.

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Section: Literature Reviewmentioning

confidence: 99%

Research on Risk Assessment Model of Electricity Spot Market Considering Local Grid and Incremental Distribution Network

Hu,

Zhou,

et al. 2024

Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29,

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Credit evaluation method of generating companies considering the market behavior in China electricity market

Xie

Wang

Zhou

et al. 2021

Energy Science & Engineering

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In July 2019, the General Office of the State Council issued the "Guidance on Accelerating the Construction of a Social Credit System and Building a New Credit-Based Regulatory Mechanism, 1 " which emphasized the fundamental role of a credit system in the innovation of the regulatory mechanism and improvement of the regulatory capacity and level. Currently, the construction of a credit system in the marketoriented reform of the electricity system of China is still not completely established, making it challenging to match the existing electricity market mechanism. A scientific and effective credit evaluation method needs to be quickly defined to maintain safe and stable electricity market operations.

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Electricity Market Customer Segmentation Based on DBSCAN and k-Means : —A Case on Yunnan Electricity Market

Wang¹,

Chongdong²,

Yijing³

et al. 2020

2020 Asia Energy and Electrical Engineering Symposium (AEEES)

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The Analysis of Credit Management in Guangdong Electricity Market

Cited by 5 publications

References 0 publications

Research on Risk Assessment Model of Electricity Spot Market Considering Local Grid and Incremental Distribution Network

Research on Risk Assessment Model of Electricity Spot Market Considering Local Grid and Incremental Distribution Network

Credit evaluation method of generating companies considering the market behavior in China electricity market

Electricity Market Customer Segmentation Based on DBSCAN and k-Means : —A Case on Yunnan Electricity Market

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