4 papers · 1 filter
Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls
Kyung-bin Kwon, Sayak Mukherjee, Thanh Long Vu +1
This paper develops a risk-aware controller for grid-forming inverters (GFMs) to minimize large frequency oscillations in GFM inverter-dominated power systems. To tackle the high v…
Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control
Kyung-bin Kwon, Sayak Mukherjee, Hao Zhu +1
Load frequency control (LFC) is a key factor to maintain the stable frequency in multi-area power systems. As the modern power systems evolve from centralized to distributed paradi…
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems
Kyung-bin Kwon, Lintao Ye, Vijay Gupta +1
We develop a model-free learning algorithm for the infinite-horizon linear quadratic regulator (LQR) problem. Specifically, (risk) constraints and structured feedback are considere…
Reinforcement Learning Based Optimal Battery Control Under Cycle-based Degradation Cost
Kyung-bin Kwon, Hao Zhu
Battery energy storage systems are providing increasing level of benefits to power grid operations by decreasing the resource uncertainty and supporting frequency regulation. Thus,…