Abstract
Online feedback-based optimization has become a promising framework for real-time optimization and control of complex engineering systems. This tutorial paper surveys the recent advances in the field as well as provides novel convergence results for primal-dual online algorithms with heterogeneous step sizes for different elements of the gradient. The analysis is performed for quadratic programs and the approach is illustrated on applications for adaptive step-size and model-free online algorithms, in the context of optimal control of modern power systems.
Original language | American English |
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Number of pages | 9 |
DOIs | |
State | Published - 2024 |
Event | 2023 62nd IEEE Conference on Decision and Control (CDC) - Singapore Duration: 13 Dec 2023 → 15 Dec 2023 |
Conference
Conference | 2023 62nd IEEE Conference on Decision and Control (CDC) |
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City | Singapore |
Period | 13/12/23 → 15/12/23 |
NREL Publication Number
- NREL/CP-5D00-89045
Keywords
- gradient methods
- optimal control
- power system control
- power systems
- real-time systems
- surveys
- tutorials