Acquisition method and acquisition system of customer response model under peak-valley time-of-use price

Abstract

The invention provides an acquisition method and an acquisition system of a customer response model under a peak-valley time-of-use price. The acquisition method comprises the following steps of representing peak-valley time-of use price level and preset other factors influencing a customer response behavior by using fuzzy numbers, and determining influence factor comprehensive indexes of the customer response behavior according to the peak-valley time-of-use price level and the weight of the preset other factors influencing the customer response behavior; establishing a linear regression model of the customer response behavior according to the influence factor comprehensive indexes; acquiring multiple groups of influence factors and an observed value of the electric quantity of customer response, and determining response parameters in the linear regression model according to the observed value through a fuzzy adaptive least square method; determining the customer response model under the peak-valley time-of-use price according to the response parameters. The acquisition method and the acquisition system are conductive to improving the accuracy and effectiveness of the customer response model under the peak-valley time-of-use price and providing reliable evidences for network load control, thus generating remarkable 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

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