Mass air conditioner load simulation method and system

Abstract

The invention provides a mass air conditioner load simulation method and system. The method comprises the following steps that: calculating the temperature regulation quantity of a virtual sub-load; on the basis of the temperature regulation amount of the virtual sub-load, calculating the temperature regulation quantity of a polymer; and on the basis of the temperature regulation amount of the polymer, calculating and controlling the starting and stopping state of the air conditioner. By use of the method, the temperature regulation quantity of the virtual sub-load and the temperature regulation amount of the polymer are calculated to regulate the temperature of the air conditioner, the response factor of each level is fully considered, and the accuracy of mass air conditioner load simulation is effectively improved.

Description

technical field [0001] The invention relates to the field of measurement testing and statistics, in particular to a massive air-conditioning load simulation method and system. Background technique [0002] The full utilization of demand-side resources in the power system can effectively improve the optimal allocation of power system resources has become the consensus of scholars and technicians in the power industry, but how to use these potential demand-side resources has become a research hotspot in recent years. [0003] Due to the lack of flexible electricity sales market and active load adjustment means in China, it is difficult to obtain reliable load response data from a large number of theoretical research results. It is difficult and costly to obtain experimental data. [0004] The simulation of massive loads has always been a difficult point in flexible load control. Usually, a black box method is used to collect statistics on the external characteristics of the l...

AI Technical Summary

Problems solved by technology

[0003] Due to the lack of flexible electricity sales market and active load adjustment means in China, it is difficult to obtain reliable load response data from a large number of theoretical research results. It is difficult and costly to obtain experimental data

[0004] The simulation of massive loads has always been a difficult point in flexible load control. Usually, a black box method is used to collect statistics on the external characteristics of the load cluster from Monte Carlo sampling or actual samples. However, the external characteristics of the load cluster are subject to the physical constraints of the underlying load, the controller As a result, it is difficult to establish the quantitative relationship between these influencing factors and the response results of the load cluster based on the external characteristics obtained through statistics, and it is also difficult to guarantee the uncertainty and reliability of the external characteristics.

Images