【摘要】 针对微电网在多重外部扰动的影响下出现的鲁棒性下降、控制效果不佳而导致的调度效率和精准度低等问题，设计了一种基于自抗扰的鲁棒优化调度模型。为提高自抗扰观测器对外界多重扰动的观测能力和控制器对外界扰动的抵抗能力，额外引入新观测器，与初始观测器形成级联结构，对经初始观测器输出的观测值再次进行观测，并设计对于的线性误差反馈律进行扰动补偿。同时为提高系统的鲁棒性和优化调度能力，引入了参数整定因子，对观测带宽和控制带宽进行实时调整，不仅提高了系统的稳态运行能力，而且提升了系统在负载突变、直流侧电压突变等多种外界扰动下的暂态过渡能力。最后，在MATLAB/Si-mulink仿真平台中搭建微电网的数字仿真模型，将所提优化调度模型应用到微电网中，与其他优化模型进行试验对比，验证了所提鲁棒优化调度模型的正确性和优异性。结果表明，所提鲁棒优化调度模型不仅提高了系统的鲁棒性，而且使调度效率和调度精准度可达95%以上。更多还原

【Abstract】 A robustness optimization scheduling model based on active disturbance rejection was designed to address the issues of reduced robustness and poor control effectiveness of microgrids under the influence of multiple external disturbances, resulting in low scheduling efficiency and accuracy. To improve the observation ability of the active disturbance rejection observer to multiple external disturbances and the resistance of the controller to external disturbances, a new observer was introduced in addition, forming a cascade structure with the initial observer. The observation values output by the initial observer were observed again, and a linear error feedback law was designed for disturbance compensation. At the same time, in order to improve the robustness and optimization scheduling ability of the system, the parameter tuning factors were introduced to adjust the observation bandwidth and control bandwidth in real time. The action not only improved the steady-state operation ability of the system, but also enhanced the transient transition ability of the system under various external disturbances such as load changes and DC side voltage changes. Finally, a digital simulation model of the microgrid was built on the MATLAB/Simulink simulation platform, and the proposed optimization scheduling model was applied to the microgrid. Experimental comparisons were made with other optimization models to verify the correctness and superiority of the proposed robustness optimization scheduling model. The results show that the proposed robustness optimization scheduling model not only improves the robustness of the system, but also achieves scheduling efficiency and accuracy of over 95%.更多还原