DocumentCode
1860440
Title
An application to set up a model to forecast electric rate adjusted through cos/spl Phi/ using regressive analysis
Author
Cao, Fang ; Zhang, Lizi
Author_Institution
Lab. of Power Syst. Protection & Dynamic Dynamic Security Monitoring & Control, North China Electr. Power Univ., Beijing
fYear
2005
fDate
Nov. 29 2005-Dec. 2 2005
Firstpage
1
Lastpage
223
Abstract
A 2-step tariff mechanism is adopted in Chinese electric power market. That means the payment of the customers is calculated through the cosPhi of a net node. So the value of cosPhi is used to adjust the rate of consumer´s tariff. But because of the policy, the value of the adjusted rate can´t be calculated accurately in advance. Some problems always lie in how to choose a proper model to make sure the adjusted value of electric rate when to analyze the economic benefit. The paper firstly points out the disadvantage of traditional method on forecasting the adjusted rate through cosPhi. Then it presents a new method to establish the forecast model based on regressive analysis. The model proposed here was applied in a distribution company and given the reasonable result. The paper describes the applicability of the proposed model and gives some explanation for application
Keywords
load forecasting; power distribution economics; power markets; regression analysis; tariffs; Chinese electric power market; cosPhi; distribution company; economic benefit; electric rate adjustment; forecast model; regressive analysis; two-step tariff mechanism; Control systems; Economic forecasting; Laboratories; Monitoring; Power generation economics; Power system dynamics; Power system protection; Power system security; Predictive models; Reactive power; correlation analysis; electricity tariff; forecast model; regressive analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Conference, 2005. IPEC 2005. The 7th International
Conference_Location
Singapore
Print_ISBN
981-05-5702-7
Type
conf
DOI
10.1109/IPEC.2005.206910
Filename
1627199
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