Dynamics and Control of Inverter-Based Resources in Modern Power Systems

Dr. Sijia Geng

Postdoctoral Associate at the MIT Laboratory for Information and Decision Systems (LIDS)
Massachusetts Institute of Technology

Seminar Information

Seminar Series
Energy: Joint Mechanical & Aerospace Engineering Dept & Center for Energy Research

Seminar Date - Time
November 2, 2022, 11:00 am
-
12:15

Seminar Location
Online only via Zoom (connection in link below)

Seminar Recording Available: Please contact seminar coordinator, Jake Blair at (j1blair@eng.ucsd.edu)

Dr. Sijia Geng

Abstract

Electric power systems are undergoing drastic transformations from large synchronous generation to inverter-based resources (IBRs). Solar photovoltaic panels, wind turbines, batteries and fuel cells, for example, all connect to power systems through power electronic inverters. IBRs possess vastly different physics than traditional synchronous generators and their dynamics highly depend on the enforced controller. Existing control strategies for IBRs tend to be categorized as either grid-following or grid-forming. This talk presents a novel inverter control scheme that is in essence a hybrid grid-forming/following controller and offers beneficial characteristics of both. The controller incorporates both a phase-locked loop (PLL) for voltage synchronization and power frequency droop for load sharing. The distinguishing feature of the controller is that it regulates active power by adjusting the phase angle across the filter inductance. I will also discuss some practical features of the PLL-based control such as black-start and low voltage ride-through. Various analyses are carried out to explore the small- and large-disturbance performance under a variety of system conditions. Improved robustness is achieved by incorporating both power-frequency droop and a PLL into the control strategy.

Speaker Bio

Dr. Sijia Geng is an incoming assistant professor in the Department of Electrical and Computer Engineering at Johns Hopkins University. She received her Ph.D. in electrical and computer engineering in 2022 from the University of Michigan, Ann Arbor, where she also received the M.S. degrees in mathematics and ECE, both in 2021. Currently she is a postdoctoral associate at the MIT Laboratory for Information and Decision Systems. The focus of her research is to facilitate the energy transition to renewable resources and ensure an autonomous, reliable, and clean future energy system. Using rigorous mathematical tools from analysis, control, and optimization, she develops theory and computational tools to address the critical challenges as variable renewable resources are integrated into energy systems in large scale. Her most recent research interests include dynamics and control of inverter-based smart grids and optimization of electrified transportation systems.