Joint scheduling method for air conditioner load and electric vehicle charging load

Abstract

The invention discloses a day-ahead optimization method for joint scheduling of an air conditioner load and an electric vehicle charging load. The method comprises the following steps: 1) establishing a building total electrical load day-ahead prediction model considering the electric vehicle charging load; 2) performing multi-objective optimization on the building total electrical load day-ahead prediction model in view of two aspects including system operation economy and power grid friendliness; and 3) establishing a comprehensive evaluation calculation method, and determining a comprehensive optimal operation scheme on the Pareto frontier. According to the invention, on the basis of the characteristic that two demand response resources of the electric vehicle charging load and the air conditioning load can both provide flexibility for power grid operation and have complementation in time, a building total electrical load day-ahead prediction model considering the two resources at the same time is established, and a day-ahead optimization method is provided for joint scheduling of an air conditioner load and an electric vehicle charging load.

Description

technical field [0001] The invention relates to the field of building energy conservation, in particular to a method for joint scheduling of air-conditioning loads and electric vehicle charging loads Background technique [0002] Among flexible loads in buildings, air-conditioning loads account for a large proportion and can be adjusted flexibly. Part of the peak load during the day can be transferred through pre-cooling at night, while electric vehicles of a certain scale can schedule charging loads when they are parked at the workplace during the day, and the air-conditioning load Complementary in time, both DR resources provide considerable flexibility in grid operation. [0003] However, at present, the air-conditioning load or electric vehicle load is managed separately, and there are few studies on the joint optimization of the two demand response resources. In the existing joint optimization studies, most either do not consider the thermodynamic process, ignore the t...

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Problems solved by technology

[0003] However, at present, the air conditioning load or the electric vehicle load is managed separately, and there are few studies on the joint optimization of the two demand response resources.

In the existing joint optimization studies, most either do not consider the thermodynamic process, ignore the time-varying characteristics of the air-conditioning load, and only regard the air-conditioning load as a constant, or only consider the charging power of the charging load of electric vehicles. Instead of orderly optimizing its charging at the time level

Moreover, in the existing joint operation optimization strategy research, there are few studies that evaluate from the three aspects of grid friendliness, economy and thermal comfort at the same time.

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