基于扩张状态观测器的非线性最优变频空调频率控制

空调系统作为办公建筑耗电量最大的用电设备之一,在一些大中城市的所有负荷中,空调负荷已经占到夏季尖峰负荷的30%～40%。因此在保证所处环境中人的舒适性前提下,研究变频空调频率的最优节能控制,对促进节能减排,构建节约型社会具有重要意义。应用DIgSILENT仿真软件,搭建基于电磁暂态的变频空调模型,包含变频器模型、电动机模型、压缩机模型和热交换模型。由于变频空调以往的频率控制方式算法复杂,精度较低,误差较大。因此从压缩机频率控制器入手,设计了基于扩张状态观测器(Extended State Observer, ESO)的非线性最优变频空调频率控制器。通过仿真分析,验证了基于ESO的非线性最优控制的变频空调频率控制器能够提高空调温度的控制精度并且降低能量的损耗。

Frequency control of inverter air conditioning based on ESO nonlinear optimal control

The air conditioning system is one of the most power-intensive pieces of electrical equipment in an office building. In some large and medium-sized cities, the air conditioning load has accounted for 30% to 40% of peak load in summer. On the premise of guaranteeing the necessary comfort of people in the environment, it is of practical significance to study the optimal energy-saving control of frequency conversion air-conditioning frequency for promoting energy-saving and emission reduction and building a conservation-oriented society. Using DIgSILENT simulation software, a frequency conversion air conditioning model based on an electromagnetic transient is built. This includes the frequency converter, motor, compressor and heat exchange models. Due to the complexity of the algorithm, there is low precision and large error in previous frequency control methods of frequency conversion air conditioning. Therefore, starting from the compressor frequency controller, a frequency controller based on Extended State Observer (ESO) nonlinear optimal control is designed under the traditional PI control mode. The simulation results show that frequency control based on ESO and nonlinear optimal control can improve temperature control precision and reduce energy loss. This work is supported by National Natural Science Foundation of China (No. 60971077) and Science and Technology Project of the Headquarter of State Grid Corporation of China (Techniques and Application Research of Load Modeling Considering High-proportion Electrical and Electronic Equipment).