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An adaptive PID control method to improve the power tracking performance of solar photovoltaic air-conditioning systems

机译：改善太阳能光伏空调系统功率跟踪性能的自适应PID控制方法

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摘要

In order to increase the utilization of solar energy to lower the effect of photovoltaic power output fluctuations on power grids, an adaptive PID control method to improve the power tracking performance of solar photovoltaic air-conditioners is proposed in this paper. In this method, a dynamic temperature set point of the indoor zone is generated at each control time step based on the difference between the air-conditioning load and photovoltaic generation. The theoretical analysis shows that the proposed control is essentially a feedforward feedback control where the air-conditioning system can predictably adjust the compressor frequency based on the knowledge of how the solar radiation affects the cooling load. A case study in Shanghai shows that the proposed control method is able to significantly improve the power tracking performance of the photovoltaic air-conditioner, where the Solar Fraction (SF) and the Self-Consumption Ratio (SCR) are improved from 82.74% to 88.11% and from 70.12% to 74.42% respectively, without violating the indoor thermal comfort, where Mean Absolute Error (MAE) from the temperature set point is decreased from 0.197 to 0.168. The tuning of the power difference factor k(o) will lead to monotonic changes of SF & SCR and a minimum MAE. When k(o) is well tuned, the proposed control can realize desirable system improvements of both the power tracking ability and the indoor temperature control accuracy. The idea of this paper could be easily modified to benefit other solar cooling applications and conventional air-conditioners.
机译：为了提高太阳能的利用率，降低光伏发电输出波动对电网的影响，提出了一种自适应PID控制方法，以提高太阳能光伏空调的功率跟踪性能。在这种方法中，根据空调负荷和光伏发电之间的差异，在每个控制时间步长生成室内区域的动态温度设定点。理论分析表明，所提出的控制实质上是前馈反馈控制，其中空调系统可以基于对太阳辐射如何影响冷却负荷的知识来可预测地调节压缩机频率。在上海的案例研究表明，所提出的控制方法能够显着改善光伏空调的功率跟踪性能，其中太阳能分数（SF）和自耗率（SCR）从82.74％提高到88.11。 ％和分别从70.12％降至74.42％，而不会损害室内的热舒适性，其中温度设定点的平均绝对误差（MAE）从0.197降低至0.168。功率差因子k（o）的调整将导致SF和SCR的单调变化以及最小MAE。当k（o）很好地调整时，所提出的控制可以实现功率跟踪能力和室内温度控制精度方面的理想系统改进。可以轻松修改本文的思想，以使其他太阳能制冷应用和常规空调受益。

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