5 papers
LiFT-MPC: Language-in-the-Loop Feedback Tuning of Cost Previews for MPC
Xinyi Yi, Ioannis Lestas
In model predictive control (MPC) with time-varying objectives, predicted signals need to be often incorporated in the cost function, such as prices in energy system operation. The…
First-Order Projected Algorithms With the Same Linear Convergence Rate Bounds as Their Unconstrained Counterparts
Mengmou Li, Ioannis Lestas, Masaaki Nagahara
In this paper, we propose a systematic approach for extending first-order optimization algorithms, originally designed for unconstrained strongly convex problems, to handle closed…
Data-driven online control for real-time optimal economic dispatch and temperature regulation in district heating systems
Xinyi Yi, Ioannis Lestas
District heating systems (DHSs) require coordinated economic dispatch and temperature regulation under uncertain operating conditions. Existing DHS operation strategies often rely…
A mixed Hinfty-Passivity approach for Leveraging District Heating Systems as Frequency Ancillary Service in Electric Power Systems
Xinyi Yi, Ioannis Lestas
This paper introduces a mixed H-infinity-passivity framework that enables district heating systems (DHSs) with heat pumps to support electric-grid frequency regulation. The analysi…
On-Policy Reinforcement-Learning Control for Optimal Energy Sharing and Temperature Regulation in District Heating Systems
Xinyi Yi, Ioannis Lestas
We address the problem of temperature regulation and optimal energy sharing in district heating systems (DHSs) where the demand and system parameters are unknown. We propose a temp…