Hosny Mohamed, Marei Mostafa I, Mohamad Ahmed M I
Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Ain Shams, Egypt.
Sci Rep. 2025 Jan 30;15(1):3757. doi: 10.1038/s41598-025-87986-6.
The integration of renewable energy sources into microgrids presents some challenges due to the decreased system overall inertia associated with the presence of converter -based sources. To overcome this issue and to enhance the system inertia, various concepts for virtual inertial control have been proposed in the literature. However, the concept of improving the system frequency through wind turbines has gained widespread acceptance. Several frequency support techniques have been proposed recently. However, conventional virtual inertia controllers may not satisfy the performance requirements in terms of frequency nadir and rate of change of frequency (ROCOF) over a wide range of microgrid operating conditions. This paper proposes a hybrid adaptive virtual inertia control strategy based on Fuzzy logic. The hybrid strategy integrates kinetic energy based virtual inertia control and virtual capacitance control schemes. The gains of both KE based virtual inertia control loop and virtual capacitance control loop are adapted simultaneously to enhance frequency support of low inertia microgrid under wide range of renewable energy sources (RES) disturbances and load changes. Different case studies are simulated on MATLAB/ Simulink to evaluate the dynamic performance of the proposed adaptive hybrid virtual inertia strategy under different conditions.
由于基于变流器的电源的存在导致系统整体惯性降低，将可再生能源集成到微电网中存在一些挑战。为了克服这个问题并提高系统惯性，文献中提出了各种虚拟惯性控制概念。然而，通过风力涡轮机提高系统频率的概念已得到广泛认可。最近已经提出了几种频率支持技术。然而，传统的虚拟惯性控制器在广泛的微电网运行条件下可能无法满足频率最低点和频率变化率（ROCOF）方面的性能要求。本文提出了一种基于模糊逻辑的混合自适应虚拟惯性控制策略。该混合策略集成了基于动能的虚拟惯性控制和虚拟电容控制方案。基于动能的虚拟惯性控制回路和虚拟电容控制回路的增益同时进行调整，以增强低惯性微电网在广泛的可再生能源（RES）干扰和负载变化下的频率支持。在MATLAB/Simulink上进行了不同的案例研究，以评估所提出的自适应混合虚拟惯性策略在不同条件下的动态性能。
