Hycon2 Benchmark: Power Network System
S. Riverso, G. Ferrari-Trecate

TL;DR
This paper presents a benchmark for testing decentralized control methods in power networks, focusing on designing the AGC layer using centralized MPC across three scenarios, with software tools provided.
Contribution
It introduces a benchmark exercise with three scenarios for power network control, enabling performance comparison of different control schemes.
Findings
Performance levels achieved with centralized MPC in each scenario
Benchmark results serve as a reference for future control methods
Simulation software provided for reproducibility
Abstract
As a benchmark exercise for testing software and methods developed in Hycon2 for decentralized and distributed control, we address the problem of designing the Automatic Generation Control (AGC) layer in power network systems. In particular, we present three different scenarios and discuss performance levels that can be reached using Centralized Model Predictive Control (MPC). These results can be used as a milestone for comparing the performance of alternative control schemes. Matlab software for simulating the scenarios is also provided in an accompanying file.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFrequency Control in Power Systems · Microgrid Control and Optimization
