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Frequency response improvement in microgrid using optimized VSG control

机译:优化VSG控制的微电网频率响应改进

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In the recent years, the disadvantages of the inverter based distributed energy resource, such as less inertia and lower available kinetic energy as compared to synchronous generator (SG), have been addressed by researchers. As a result, the virtual synchronous generator (VSG) or virtual synchronous machine (VSM) is suggested in literature. VSG controller allows the inverter to mimic the characteristic of the synchronous generator by emulating the swing equation of SG. In case of VSG control, one can change the parameters of swing equation in real-time to improve the transient response of the system, which is not possible in an actual synchronous machine. Based on this concept, an optimized VSG control is discussed in this paper, in which the inertia constant and damping factor are altered between two values based on relative virtual angular velocity and its rate of change. The optimized values of virtual inertia constant and virtual damping factor are obtained, by formulating, aggregated fitness function of frequency deviation and voltage deviation. Particle Swarm Optimization (PSO) technique is used to minimize the function. Lyapunov direct method is used for the transient stability analysis of the system.
机译:近年来,研究人员已经通过了与同步发电机(SG)相比,基于逆变器的分布能量资源的缺点,例如较少的惯性和降低的可用动能,并得到了研究人员。结果,在文献中建议了虚拟同步发电机(VSG)或虚拟同步机(VSM)。 VSG控制器允许逆变器通过模拟SG的摆幅方程来模拟同步发电机的特性。在VSG控制的情况下,可以实时地改变Swing方程的参数,以改善系统的瞬态响应,在实际同步机中是不可能的。基于该概念,本文讨论了优化的VSG控制,其中惯性恒定和阻尼因子基于相对虚拟角速度和其变化率在两个值之间改变。通过配制,聚合的频率偏差和电压偏差来获得虚拟惯性恒定和虚拟阻尼因子的优化值。粒子群优化(PSO)技术用于最小化功能。 Lyapunov Direct方法用于系统的瞬态稳定性分析。

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