Dynamic modeling of air conditioners based on bat algorithm

Abstract

In recent years, countries have advocated green development and gradually implemented new energy-based power grids. Due to the contradiction between the randomness of new energy generation and the growing demand for residential electricity consumption, the stable operation of power grids is facing a great challenge. Air-conditioning loads make up a large and increasing portion of residential electricity consumption, so monitoring it and establishing a corresponding model to guide residents to use electricity reasonably and ensure that the power grid operates stably is important. Many air conditioning model parameters are based on typical values or use offline identification and need higher accuracy. The paper presents a dynamic modeling approach for air conditioners based on the bat algorithm to realize a comprehensive view of the air conditioners and the buildings to which they belong. A model of the air conditioner and the building to which it belongs is created. Then the bat algorithm recognizes the model parameters and makes iterative corrections. The actual usage scenario is simulated in the form of simulation to generate air conditioner power consumption data and verify its recognition effect. The model is shown to identify the corresponding parameters accurately. It realizes the accurate monitoring of air conditioners in real application scenarios, which is important for comprehensively understanding air conditions.