Air conditioner demand response degree estimation method based on Stackelberg game

Abstract

The invention discloses an air conditioner demand response degree estimation method based on a Stackelberg game, and the method comprises the steps: 1, carrying out the sampling of the initial set temperature of an air conditioner of a user group through employing a Monte Carlo sampling method, and calculating the power consumption of the air conditioner under a current sample; 2, establishing a Stackelberg game model, and solving the model to obtain an air conditioner set temperature sample after user group optimization; 3, calculating the operating power of the air conditioner according to the set temperature sample obtained after optimization, and calculating the response quantity to obtain a response degree sample of the user group; 4, calculating response degree point estimation and interval estimation according to the response degree sample. According to the method, the influence of uncertainty factors on the user response in the air conditioner user demand response process is considered, the interaction process between the user and the aggregator in the response process is simulated, the response degree of the user participating in the response is calculated, and a referenceis provided for more scientifically evaluating the reliability of the user participating in the demand response.

Description

technical field [0001] The invention belongs to the field of electric load demand side management, and specifically relates to a Stackelberg game-based method for estimating the demand response degree of an air conditioner. Background technique [0002] With the rapid development of social economy and the improvement of people's living standards, the level of household electrification continues to increase, and the sharp increase in electricity loads has made the problem of peak-valley differences in load curves increasingly prominent. Although the growing and increasingly complex power demand can be met by increasing the capacity of generating units and expanding transmission capacity, due to the seasonal characteristics of power loads, the increased generating units and transmission capacity can only be fully utilized during the summer peak period, and most of the rest of the season It is in a shutdown state, resulting in serious waste of resources and low economic efficie...

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Problems solved by technology

[0005] To sum up, when the traditional method studies the uncertainty of demand response, the approximate distribution of demand response degree does not consider the actual situation, and when implementing the response, it does not consider the interaction between air conditioner users and aggregators, resulting in Conclusion The accuracy is low, which brings great difficulties to the power grid and aggregators to safely and economically dispatch response resources

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