Open AccessIdentification of market power abuse in China’s electricity market
Author(s) -
Ziyun Cheng,
Hao Li,
Hongyao Xu,
Li Dong,
Hongyuan Tao,
Huichun Hua,
Shenghua Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012077
Subject(s) - identification (biology) , support vector machine , marketization , index (typography) , computer science , electricity market , process (computing) , data mining , electricity , key (lock) , china , operations research , artificial intelligence , engineering , computer security , law , political science , botany , electrical engineering , world wide web , biology , operating system
The goal of this paper is to find a method to identify violations, which is suitable for China’s electricity market. Therefore the key problems in the process were discussed, that is, the trading rules and marketization degree which were different from those of foreign countries. So this article has done the following works to solve the problems. Firstly, this paper classifies and compares the identification indexes of market power abuse, and analyzes the advantages and disadvantages of each index, based on which an index system is proposed. Secondly, An intelligent identification algorithm based on support vector machine(SVM) is introduced and improved to solve the data imbalance problem. Also, the index system and the improved SVM were combined to cover the economic principle as well as improve the identification efficiency at the same time. Taking the simulation data as an example, the rate of violation recognition reaches 100%, which indicates that the method proposed in this paper is feasible and effective.