Intelligent power grid scene-oriented demand response participation degree model construction method

Abstract

The invention discloses a demand response participation degree model construction method for an intelligent power grid scene. A small amount of related research exists for the user participation situation in the demand response process, but participation degree influence factors mainly considered in the research are user historical electricity utilization data information and economic benefits, key factors such as user satisfaction degree influenced by price excitation and response time delay are not considered, and the prediction accuracy is poor. The technical scheme adopted by the invention comprises the following steps: 1) establishing a power overhead reduction model based on a demand response participation condition; 2) establishing a user satisfaction model based on the response time delay; 3) adding a weight factor to construct a benefit model based on the two models; and 4) based on the benefit model, constructing a participation degree-oriented dynamic evolutionary game interaction model, obtaining user participation degree conditions under different price strategies and response performance, and giving trend prediction of iteration of the participation degree along with response participation times, so that the influence effect of each factor on the participation degree is more intuitively expressed.

Description

technical field [0001] The invention belongs to the field of smart grid demand response, in particular to a method for constructing a demand response participation model for smart grid scenarios. Background technique [0002] Demand response (DR) brings a new application mode to smart grid information interaction, incorporating user-side demand into policy formulation, changing the traditional one-way load control to two-way information interaction, improving user satisfaction and further releasing Load regulation potential. Specifically, the demand response model uses preferential electricity prices as an incentive to stimulate users to reduce or migrate electricity consumption during peak electricity consumption or emergency situations, improve system stability, and smooth load usage. However, the promotion of this model has not yet achieved the expected results, mainly because the user participation is still low. The reason is that the current information technology and ...

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Problems solved by technology

However, the disadvantage of this method is that it does not consider the impact of user satisfaction o

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