Method and system for obtaining user response model under peak-valley time-of-use electricity price

Abstract

The present invention provides a method and system for acquiring a user response model under peak-valley time-of-use electricity prices, the method comprising the following steps: using fuzzy numbers to represent peak-valley time-of-use electricity price levels and other preset factors affecting user response behaviors, And according to the peak and valley time-of-use electricity price level and the weight of other preset factors affecting user response behavior, the comprehensive index of influencing factors of user response behavior is determined; the linear regression model of user response behavior is established according to the comprehensive index of influencing factors; several groups of influence factors are obtained. Factors and the observed value of user response electricity, according to the observed value and through the fuzzy least squares method to determine the response parameters in the linear regression model; according to the response parameters to determine the user response model under the peak-valley time-of-use electricity price. The invention is beneficial to improve the accuracy and effectiveness of the user response model under the peak-valley time-of-use electricity price, and provides a reliable basis for the load control of the power grid, thus producing significant social, economic and environmental benefits.

Description

【Technical field】 [0001] The invention relates to the field of power grid load regulation, in particular to a method and system for acquiring a user response model under peak and valley time-of-use electricity prices. 【Background technique】 [0002] The way of guiding users' electricity consumption behavior through peak-valley time-of-use electricity prices is an important way to regulate power grid loads. At present, it has received widespread attention in countries all over the world, and has been widely recognized in developed countries such as Europe and the United States, as well as domestic provinces such as Guangdong, Jiangsu, and Zhejiang. practical application. In order to better formulate peak-valley time-of-use electricity prices, some scholars have modeled and analyzed user response behavior under peak-valley time-of-use electricity prices. Existing methods mainly include methods based on statistical principles, methods based on consumer psychology and methods b...

AI Technical Summary

Problems solved by technology

[0007] Based on this, the present invention provides a method for obtaining a user response model under peak-valley time-of-use electricity prices, which solves the problems of the existing user response behavior analysis methods under peak-valley time-of-use electricity prices, which are highly dependent on data, Unable to fully describe the uncertain response behavior of users and the large fitting error of parameter estimation, it provides an important basis for load regulation of the power grid

Images