光伏功率扰动下的水电机组海鸥优化模糊PID控制研究

光伏发电机组输出功率的随机性和波动性影响着供电系统的安全稳定运行。为了提高水光供电系统的频率稳定能力，根据水轮机调速系统的数学模型，结合海鸥算法的寻优能力和模糊控制的推理能力，提出基于海鸥优化模糊PID（SOAFPID）控制的水电机组控制策略，使其能够快速调节光伏和负荷波动引起的系统频率偏差。通过搭建Simulink仿真模型，分析其在不同扰动工况下的频率稳定能力。仿真结果表明：与传统PID控制方法相比，采用SOAFPID控制的水电机组在光伏和负荷功率扰动下具有更小的超调量和更快的稳定速度，在水光供电系统中表现出了优越的动态调节性能。

Research on Seagull Optimal Fuzzy PID Control of Hydropower Unit Under Photovoltaic Power Disturbance

The randomness and volatility of the output power of photovoltaic generator sets affect the safe and stable operation of the power supply system. In order to improve the frequency stability of the hydropower photovoltaic power supply system, the mathematical model of the hydraulic turbine speed control system is analyzed, then the optimization ability of the seagull algorithm and the reasoning ability of the fuzzy control are combined, and a seagull-optimized fuzzy PID control (SOAFPID) based method is proposed. The hydroelectric unit control strategy enables the system to quickly adjust the frequency deviation caused by photovoltaic and load fluctuations. The Simulink simulation model is built, the frequency stability capability of the system under different disturbance conditions is analyzed. The simulation results show that the hydroelectric unit controlled by SOAFPID has a minor overshoot and faster stabilization speed under photovoltaic and load power disturbance compared with the traditional PID control method. The dynamic regulation in the hydropower-photovoltaic power supply system performs well.