Agent-Supervisor Coordination for Decentralized Event-Triggered Optimization

Journal Article · Wed Dec 15 04:00:00 EST 2021 · IEEE Control Systems Letters

DOI:https://doi.org/10.1109/LCSYS.2021.3135510· OSTI ID:1841966

Srivastava, Priyank; Cavraro, Guido; Cortes, Jorge

This letter proposes decentralized resource-aware coordination schemes for solving network optimization problems defined by objective functions that combine locally evaluable costs with network-wide coupling components. These methods are well suited for a group of supervised agents trying to solve an optimization problem under mild coordination requirements. Each agent has information on its local cost and coordinates with the network supervisor for information about the coupling term of the cost. The proposed approach is feedback-based and asynchronous by design, guarantees anytime feasibility, and ensures the asymptotic convergence of the network state to the desired optimizer. Numerical simulations on a power system example illustrate our results.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1841966
• Report Number(s): NREL/JA-5D00-81599; MainId:82372; UUID:e2272cf8-ecb0-45f6-8fc6-b89c9e49abf4; MainAdminID:63696
• Journal Information: IEEE Control Systems Letters, Journal Name: IEEE Control Systems Letters Vol. 6
• Country of Publication: United States
• Language: English

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
decentralized algorithms
event-triggered control
optimization