Load rebound optimization, load regulation method and system based on demand response
A technology of demand response and optimization method, applied in the direction of neural learning method, design optimization/simulation, data processing application, etc., can solve problems such as load rebound, and achieve the effect of reducing system load rebound
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[0124] This embodiment discloses a method for optimizing the amount of load rebound. On the basis of the above embodiments, the following technical features are also disclosed:
[0125] Preferably, the objective function J 1 for:
[0126] J 1 =minL PB
[0127] =min∑15.202399x 1 2 -273.266156x 1 -2659.039304-132.8800x 2 2 +747.5x 2 +5.3630-0.000323x 3 2 +2.282920x 3 -9.865600
[0128] Based on the above aggregation model, the load distribution of the 12 time periods during summer user active time (09:00-21:00) is simulated respectively. Assume that there are 10 groups of user groups participating in DLC, and each group of user groups contains 500 control objects; during the period of user participation in demand response, DLC is implemented several times, and the control periods are not continuous. The hourly outdoor temperature changes during this period are as follows: figure 2 shown.
[0129] The user's thermodynamic parameters are shown in Table 1.
[0130...
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