Household energy double-layer optimization method for realizing interaction between power grid side and user side

Abstract

The invention discloses a household energy double-layer optimization method for realizing interaction between a power grid side and a user side. The method comprises the steps of: reading a daily loadcurve of a user, carrying out dimensionality reduction on high-dimensional load data based on a feature index, and obtaining a dimensionality reduction curve; calculating the membership degree of thedimension reduction curve based on an FCM fuzzy clustering algorithm, and completing the classification of the daily load curve; classifying resident users, and designing a power package for each type of resident users; simulating a day-ahead load curve, and performing real-time monitoring and load decomposition on the household appliances of the users by utilizing a non-intrusive optimization model; dynamically adjusting a peak-valley electric quantity coefficient, and switching on and switching off equipment in real time according to the dynamic priority of the household appliances. According to the household energy double-layer optimization method for realizing interaction between the power grid side and the user side of the invention, the power package considering the time-of-use electricity price and an incentive subsidy mechanism is implemented to the scheduling of the specific load equipment of the household users, and is used for improving the peak-valley difference of the resident load curve, improving the interaction degree between a power utilization end and a power supply end, and enabling the resident users to participate in the optimal scheduling of the power grid more actively.

Description

technical field [0001] The invention belongs to the field of electric power optimization dispatching, relates to a family energy optimization method, in particular to a family energy double-layer optimization method that realizes interaction between a power grid side and a user side. Background technique [0002] In most existing studies, the time-of-use electricity price is only a fixed electricity price. The time-of-use electricity price mechanism cannot reflect the interactive relationship between the grid and users, and is not enough to mobilize the enthusiasm of residential users to participate in grid peak regulation. Therefore, relevant departments, experts and scholars have proposed an incentive mechanism to promote residents' participation in grid peak regulation, and provide certain subsidies when residents reduce their electricity demand. Compared with only using time-of-use electricity prices, taking into account time-of-use electricity prices and incentive subsid...

AI Technical Summary

Problems solved by technology

[0003] However, if only the intelligent dispatching of loads is considered, the environmental assumption of time-of-use electricity price is single, and it is difficult to reflect the interactive relationship between power supply and consumption.

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