As an important facility to ensure stable and efficient agricultural production, greenhouses rely on traditional energy sources for environmental management, which has problems such as high energy consumption and low regulation accuracy. Photovoltaic Thermal (PV/T) technology has become an important option to optimize the energy structure of greenhouses due to its efficient use of light energy. However, PV/T greenhouses still face the dynamic impact of the complex external environment, which leads to certain deficiencies in the temperature control effect, energy efficiency and stability of the system. In order to cope with this challenge, this paper takes the internal temperature control of greenhouses as the research object, combines it with PV/T, and researches the optimization of temperature control of PV/T greenhouses, and designs a set of intelligent control methods for greenhouse in terms of photo-thermal as the main and photovoltaic as the auxiliary. The affiliation function of the Fuzzy Proportional-Integral-Derivative(FPID) controller is optimized by the improved crown porcupine algorithm (CPO). The results show that the improved CPO-FPID controller in the PV/T-greenhouse interior application improves the regulation time of temperature control by more than 7.2% and reduces the overshoot by more than 68.3% compared with the CPO-FPID, GWO-FPID, and FPID controllers, and possesses better stability. The thermal energy utilization efficiency of the PV/T system in greenhouse application scenarios and the temperature control effect inside the PV/T-greenhouse are improved.