A solution strategy for distributed uncertain economic dispatch problems via scenario theory

DOI10.1007/s11768-021-00068-6zbMath1491.93051OpenAlexW3216230092MaRDI QIDQ2138939

Jiangping Hu, Peng Li

Publication date: 17 May 2022

Published in: Control Theory and Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11768-021-00068-6

zbMATH Keywords

distributed systemuncertain parametereconomic dispatch problemscenario theory

Mathematics Subject Classification ID

Optimal stochastic control (93E20) Networked control (93B70)

Related Items (1)

Distributed optimization with inexact oracle

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems
• Cooperative shift estimation of target trajectory using clustered sensors
• Optimal scaling of a gradient method for distributed resource allocation
• Distributed resource allocation over random networks based on stochastic approximation
• Distributed Continuous-Time Algorithms for Nonsmooth Extended Monotropic Optimization Problems
• A General Scenario Theory for Nonconvex Optimization and Decision Making
• Multi-Agent Distributed Optimization via Inexact Consensus ADMM
• AMP-Inspired Deep Networks for Sparse Linear Inverse Problems
• A Proximal Dual Consensus ADMM Method for Multi-Agent Constrained Optimization
• Distributed policy evaluation via inexact ADMM in multi-agent reinforcement learning
• New directions in distributed Nash equilibrium seeking based on monotone operator theory

This page was built for publication: A solution strategy for distributed uncertain economic dispatch problems via scenario theory