Identification of abuse of market power by power generation enterprises

I Barukčić,Lifeng Zhang,Hongyuan Tao,Huichun Hua,Fengqing Du,Zhe Liu

doi:10.1051/matecconf/202133609028

I Barukčić, Lifeng Zhang + Show 4 more

Open Access

https://doi.org/10.1051/matecconf/202133609028

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Abstract

At present, the reform of the power market is progressing steadily. To ensure the efficient and healthy operation of the power market, there is an urgent need to strengthen the credit supervision of the electricity market entities. Identifying violations of power generation companies' abuse of market power is a key task in the credit supervision of power market entities. Traditional power generation companies' abuse of market power identification mainly relies on expert decision-making. However, with the increase in market transaction volume, expert decision-making cannot meet the needs of work, and an intelligent identification method suitable for computer analysis must be proposed. This paper first proposes a quantitative definition of abuse of market power, and then takes into account the specific data characteristics of the electricity market, and proposes a method of identifying violations of power generation companies based on improved cost-sensitive support vector machines. Finally, the power market simulation experiment data set labeled by the definition method is used for training and testing. The test results show that the abuse of market power by power generation companies can be quickly and accurately identified, which verifies the effectiveness of the proposed method.

Highlights

In the context of the new round of electricity reform, power market transactions are more diversified, and the rapid development is accompanied by corresponding market risks
In order to judge whether power generation enterprises abuse market power more accurately, it is necessary to put forward its quantitative definition first
The results show that the proposed method can quickly and effectively identify the irregularities of power generation enterprises abusing market power

Summary

Introduction

In the context of the new round of electricity reform, power market transactions are more diversified, and the rapid development is accompanied by corresponding market risks. Because of China's special national conditions, compared with foreign mature power markets, the power generation industry has high barriers to entry, and it is difficult to break the existing oligopoly situation of some power generation enterprises. Domestic research on the definition of abuse of market power by power generation enterprises has been relatively mature. The third level analyses the harm degree caused by power generation enterprises using market power. This paper proposes a method for identifying abuse of market power by power generation companies based on quotation data. This paper adopts SVM identify the abuse of market power by power generation companies. It is inefficient in calculating large-scale data, so the solving algorithm needs to be improved. The power market simulation experiment data set labeled by the definition method is used to train and test the improved algorithm

A quantitative definition of abuse of market power

Intelligent recognition algorithm

Case analysis

Improve cost-sensitive support vector machine training

Findings

Conclusion