中国电力2025，Vol.58Issue(5)：110-120,11.DOI:10.11930/j.issn.1004-9649.202405023
基于关键特征对比分析的异常电价成因溯源方法
Traceability Method for the Causes of Abnormal Electricity Prices Based on Comparative Analysis of Key Features
摘要
Abstract
The electricity price directly reflects the attributes of electricity commodities.However,influenced by various factors such as market supply and demand,power generation company bids,and line transmission capacity,the electricity price signals often exhibit diverse forms of anomalies.Recognizing and tracing these abnormal electricity price signals are crucial daily tasks for power trading centers at all levels.However,the existing tracing methods generally rely on manual experiences to analyze the causes of abnormal electricity prices,which is inefficient and difficult to ensure objective and scientific traceability of the causes of abnormal electricity prices.This paper proposes an abnormal electricity price cause tracing method based on comparative analysis of key features.Firstly,based on the historical electricity price data features,the abnormal spike amplitude and abnormal average value of electricity prices are categorized.And then,using the principal component analysis method,the collections of key features for each type of abnormal electricity price signals are established.Finally,using the alternative algorithms,the influencing degree of each element within the collection of key features on the electricity price are calculated respectively,and ranked based on their importance,thereby achieving filtering and tracing of the causes for abnormal electricity prices.The effectiveness of the proposed methodin is verified through case studies based on numerous actual power market data.The average accuracy rate of the proposed method for tracing the causes of average electricity price anomalies and spike anomalies reaches more than 85%,which can effectively reduce the labor costs in the process of tracing the causes of abnormal electricity prices.关键词
异常电价/成因溯源/主成分分析/关键特征Key words
abnormal electricity price/traceability method/principal component analysis(PCA)/key features引用本文复制引用
赵唯嘉,白云霄,张云勇,朱芝润,向明旭..基于关键特征对比分析的异常电价成因溯源方法[J].中国电力,2025,58(5):110-120,11.基金项目
广东电力交易中心科技项目(GDKJXM20222591) （GDKJXM20222591）
国家自然科学基金青年科学基金资助项目(52307082). This work is supported by the Science and Technology Project of Guangdong Power Exchange Center Co.,Ltd.(No.GDKJXM20222591),National Natural Science Foundation of China(No.52307082). （52307082）
