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Frequency response improvement in microgrid using optimized VSG control

机译:使用优化的VSG控制改善微电网的频率响应

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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,研究人员已经解决了基于逆变器的分布式能源的缺点,例如与同步发电机(SG)相比,惯性较小且可用动能较低。结果,在文献中提出了虚拟同步发电机(VSG)或虚拟同步机(VSM)。 VSG控制器允许逆变器通过仿真SG的摆动方程来模拟同步发电机的特性。在采用VSG控制的情况下,可以实时更改摆动方程的参数,以改善系统的瞬态响应,而这在实际的同步电机中是不可能的。基于此概念,本文讨论了一种优化的VSG控制,其中基于相对虚拟角速度及其变化率在两个值之间改变惯性常数和阻尼系数。通过计算频率偏差和电压偏差的合计适应度函数,得出虚拟惯性常数和虚拟阻尼系数的最优值。粒子群优化(PSO)技术用于最小化该功能。李雅普诺夫直接法用于系统的暂态稳定性分析。

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