Intelligent and multi-functional control for future power converter dominated grids

Electric power grids are now going through a paradigm shift towards significant integration of renewable energy sources through their interfacing power converters. But the high penetration of renewables and power converters brings new stability issues of voltage fluctuation, frequency deviation, and inertia reduction issues, which will significantly damage the security of electricity supply.

Power converters have in theory enough controllability to provide various grid support functions. But current methods cannot address the stability issues due to the complex problem of coordinating numerous multi-functional converters, high volatility and uncertainty of grids, as well as the high communication burden.

Our project aims to address above challenges by leverage AI and deep reinforcement learning, to achieve adaptive and multi-functional control of converters, to secure sustainable power grids with a high share of renewables.