?!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> Dynamic Droop Control in Low-inertia Power Systems-上v大学机电工程与自动化学院

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                Dynamic Droop Control in Low-inertia Power Systems

                创徏旉Q?nbsp; 2019-12-31  王智?    览ơ数Q?/span>

                报告旉Q?020q??2?(周日) 11:00-12:00  


                报告? 江R, 博士, U翰霍普金斯大学

                邀请h: 任肖?教授

                Title: Dynamic Droop Control in Low-inertia Power Systems

                Abstract: A widely embraced approach to mitigate the dynamic degradation in low-inertia power systems is to mimic generation response using grid-connected inverters to restore the grid’s stiffness. We seek to challenge this approach and advocate for a principled design based on a systematic analysis of the performance trade-offs of inverter-based frequency control. With this aim, we perform a qualitative and quantitative study comparing the effect of conventional control strategies —droop control (DC) and virtual inertia (VI)?on several performance metrics. By extending a recently proposed modal decomposition method, we capture the effect of step and stochastic power disturbances, and frequency measurement noise, on the overall transient and steady-state behavior of the system. Our analysis unveils several limitations of these solutions and motivates the search for a better solution. We further propose a novel dynamic Droop controller (iDroop) that overcomes the limitations of DC and VI. More precisely, we show that iDroop can be tuned to achieve high noise rejection, fast system-wide synchronization, or frequency overshoot (Nadir) elimination without affecting the steady-state control effort share, and propose a tuning recommendation that strikes a balance among these objectives.

                Bio: Yan Jiang is currently working toward the Ph.D. degree at the Department of Electrical and Computer Engineering and the M.S.E. degree at the Department of Applied Mathematics and Statistics, Johns Hopkins University. She received the B.Eng. degree in electrical engineering and automation from Harbin Institute of Technology in 2013, and the M.S. degree in electrical engineering from Huazhong University of Science and Technology in 2016. Her research interests lie in the area of control of power systems.

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