8 papers
Stochastic Multi-Segment Scheduling of Variable-Speed Pumped Storage Hydropower for Energy and Ancillary Services Provision
Kyung-bin Kwon, SangWoo Park, Dam Kim
Variable-speed pumped storage hydropower (VS-PSH) offers long-duration energy storage alongside ancillary services in competitive electricity markets. However, its operation and sc…
Degradation-Aware Pumping Control of Variable-Speed Pumped Storage via Residual Reinforcement Learning
Kyung-bin Kwon, SangWoo Park, Dam Kim
Variable-speed pumped storage hydropower (VS-PSH) must honor short-block dispatch commitments while limiting the operational degradation that intensified regulation duty inflicts o…
Communication-aware Wide-Area Damping Control using Risk-Constrained Reinforcement Learning
Kyung-bin Kwon, Lintao Ye, Vijay Gupta +1
Non-ideal communication links, especially delays, critically affect fast networked controls in power systems, such as the wide-area damping control (WADC). Traditionally, a delay e…
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…
Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning
Kyung-bin Kwon, Hao Zhu
Effectively operating electrical vehicle charging station (EVCS) is crucial for enabling the rapid transition of electrified transportation. To solve this problem using reinforceme…
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,…