Journal Article10.1049/cth2.12526
A distributed consensus based algorithm for economic dispatch over time‐varying digraphs
Ke Xu,Fanghong Guo,Gangfeng Yan +2 more
- 17 Jul 2023
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About: The article was published on 17 Jul 2023.
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References
Distributed optimization over time-varying directed graphs
Angelia Nedic,Alex Olshevsky +1 more
- 01 Jan 2013
TL;DR: This work develops a broadcast-based algorithm, termed the subgradient-push, which steers every node to an optimal value under a standard assumption of subgradient boundedness, which converges at a rate of O (ln t/√t), where the constant depends on the initial values at the nodes, the sub gradient norms, and, more interestingly, on both the consensus speed and the imbalances of influence among the nodes.
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Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs
TL;DR: This paper introduces a distributed algorithm, referred to as DIGing, based on a combination of a distributed inexact gradient method and a gradient tracking technique that converges to a global and consensual minimizer over time-varying graphs.
Consensus Based Approach for Economic Dispatch Problem in a Smart Grid
TL;DR: A novel consensus based algorithm to solve EDP in a distributed fashion, where the quadratic cost functions are adopted in the problem formulation, and the strongly connected communication topology is used for the information exchange.
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Convergence Analysis of the Incremental Cost Consensus Algorithm Under Different Communication Network Topologies in a Smart Grid
Ziang Zhang,Mo-Yuen Chow +1 more
TL;DR: The mathematical formulation of the incremental cost consensus algorithm, which is able to solve the conventional centralized economic dispatch problem in a distributed manner, and the results of several case studies show that the difference between network topologies will influence the convergence rate of the ICC algorithm.
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Consensus + Innovations Approach for Distributed Multiagent Coordination in a Microgrid
TL;DR: A distributed energy management approach based on the consensus + innovations method is presented and used to coordinate local generation, flexible load, and storage devices within the microgrid.