Day-Ahead Electricity Market Clearing Price Forecasting: A Case in Yunnan

被引：0

作者：

Yu, Xuguang ^{[1
]}

Li, YaPeng ^{[1
]}

Yang, Qiang ^{[1
]}

Li, Gang ^{[1
]}

Cao, Rui ^{[1
]}

Cheng, Chuntian ^{[1
]}

Chen, Fu ^{[1
]}

机构：

[1] Dalian Univ Technol, Inst Hydropower & Hydroinformat, Dalian 116024, Liaoning, Peoples R China

来源：

WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2018: WATERSHED MANAGEMENT, IRRIGATION AND DRAINAGE, AND WATER RESOURCES PLANNING AND MANAGEMENT | 2018年

关键词：

Electricity markets; Forecasting; Market clearing price; Time series analysis;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The newly-reformed Yunnan electricity market has been operating successfully for three years with more and more abundant trade varieties and perfect trading mechanism. The vitality of the market is increasing year by year. Market participants are gradually exploring reasonable bidding strategies, and the accurate electricity price forecasting is a joint demand for all the market members. With comprehensive considerations of the social economic background, the structure of the power system, the market development state, and other factors in Yunnan, this paper analyzes various factors and rules that have effects on the electricity price in day-ahead market. Furthermore, a successful application of an auto regressive moving average (ARMA) model to electricity price forecasting (EPF) is presented. The case study based on real data of day-ahead market in Yunnan shows that the proposed model could reflect the characteristics of electricity price and the results prove this model's effectivity.

引用

页码：141 / 151

页数：11

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