Metro air conditioning system energy-saving control method based on ActorCritic algorithm

Abstract

The invention relates to the field of air conditioner control, and discloses a metro air conditioning system energy-saving control method based on an ActorCritic algorithm, which comprises the following steps: establishing a metro air conditioner system energy consumption model; acquiring metro air-conditioning system index data, and preprocessing the metro air-conditioning system index data to obtain a preprocessed metro air-conditioning system index data set; taking the metro air-conditioning system index data as input and the metro air-conditioning system energy consumption prediction value at the next moment as output, and constructing a metro air-conditioning system energy consumption prediction model; and taking the subway air-conditioning wind-water system as a reinforcement learning agent, taking the minimum energy consumption predicted value of the subway air-conditioning system as a training target, and training the reinforcement learning agent by utilizing an ActorCritic algorithm to obtain a control action of the subway air-conditioning wind-water system. The energy-saving model of the metro air conditioning system is designed, the control action of the metro air conditioning system is obtained by combining the feedforward neural network and reinforcement learning, and real-time energy-saving control of the metro air conditioner is achieved.

Description

technical field [0001] The invention relates to the field of air-conditioning control, in particular to an energy-saving control method for a subway air-conditioning system based on an ActorCritic algorithm. Background technique [0002] At present, electricity is very tight all over the country, but the required electric energy is also increasing rapidly, and the problem of energy consumption is becoming increasingly prominent. In order to ensure the electricity consumption of residents, it is necessary to reduce the electricity consumption of public facilities. In urban traffic, in order to provide passengers with a relatively comfortable waiting environment, air-conditioning systems are widely used in subway stations. However, the energy consumption of the air-conditioning system of the subway station is relatively large, accounting for about 35% of the total energy consumption of the station, and the energy utilization efficiency is not high. The main reason for this ph...

AI Technical Summary

Problems solved by technology

However, the energy consumption of the air-conditioning system of the subway station is relatively large, accounting for about 35% of the total energy consumption of the station, and the energy utilization efficiency is not high. The main reason for this phenomenon is that the air-conditioning system has the characteristics of nonlinearity, strong coupling, and hysteresis.

[0003] The traditional air-conditioning control method cannot take into account both comfort and energy-saving issues, and most subway stations currently control the air-conditioning air system and water system separately, which cannot guarantee the energy-saving effect of the entire system

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