Energy Reports (Sep 2022)
Temperature control load-regulation strategy based on multi-dimensional state queue method
Abstract
The development of temperature control load is inevitable for people to improve the quality of life, but it has the same characteristics as the output of wind power generation, that is, randomness and intermittence. Therefore, the continuous access of temperature control load has an unprecedented challenge to the stability of power grid. However, the instability of the power grid caused by the input of wind power can be balanced by the temperature control load acting on the power grid. The research direction of this paper is the regulation of temperature controlled load household air source heat pump equipment on the power grid on the load side, which is constrained by meeting the user’s comfort. It is intended to achieve the goal of cutting peak and filling valley for the power grid side and reducing the wind rejection rate. The user side gets the economic compensation to cooperate with the power grid dispatching. At the same time, the power grid side improves the economic benefits by reducing the peak valley difference and reducing the occurrence of fan suspension. The main research contents are as follows: the thermodynamic equivalent model of single air source heat pump is established, and the aggregation model is established combined with Monte Carlo method. The simulation analysis shows that the air source heat pump group can participate in the regulation of load side; Using the prediction model of wind power based on meta learning, combined with single time series model and single linear regression model, the wind power is reasonably predicted; The multi-dimensional state queue method is used to improve the load characteristics and reduce the air rejection rate on the premise of meeting the user comfort; This paper expounds the distribution network level load regulation system, establishes the hierarchical load control structure, and makes the two-way interaction between the family compliance control system and the power grid a reality. In order to study the influence of user selection on regulation effect, according to the differences of user needs, we established three regulation strategies. Scheme A can achieve the most ideal regulation effect, and scheme B is slightly worse than scheme A. The most ideal control effect parameters can be obtained by scheme A, and the worst control effect parameters can be obtained by scheme C. Comparing the regulation effect parameters after scheme a and scheme C, based on the parameters of scheme C, the peak valley difference of scheme A is reduced by 18.30%, the peak to average ratio is reduced by 17.61% and the load variance is reduced by 18.12%. It is proved that the user can reduce the peak valley difference by using scheme A. Comparing the regulation effect parameters after scheme B and scheme C, compared with scheme C, the peak valley difference of scheme B is reduced by 11.80%, the peak to average ratio is reduced by 11.81%, and the load variance is reduced by 14.77%. It is proved that the regulation effect of scheme B can be reduced, but the effect is not as good as scheme A.
