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Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes

Conference ·
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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.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE National Renewable Energy Laboratory (NREL)
DOE Contract Number:
AC36-08GO28308
OSTI ID:
2319207
Report Number(s):
NREL/CP-5D00-89045; MainId:89824; UUID:b3682858-7809-46de-bbb3-ee1384ea9c67; MainAdminId:72023
Resource Relation:
Conference: Presented at the 2023 62nd IEEE Conference on Decision and Control (CDC), 13-15 December 2023, Singapore
Country of Publication:
United States
Language:
English

References (17)

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State Estimation for Distribution Networks with Asynchronous Sensors using Stochastic Descent July 2022

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Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
gradient methods
optimal control
power system control
power systems
real-time systems
surveys
tutorials