Distributed event‐triggered scheme for economic dispatch in power systems with uncoordinated step‐sizes

Wang, Jinmeng; Li, Huaqing; Wang, Zheng

doi:10.1049/iet-gtd.2019.0144

Cited by 9 publications

(1 citation statement)

References 49 publications

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“…Chen et al (2020) presented a distributed consensus approach for cost-effective load dispatch under frequency regulation. The works in Wang et al (2019), Yu et al (2020), and Xing et al (2019) proposed EDP methods under random delay, for time-varying step-sizes, and transmission losses. The role of control theories and Lyapunov analysis (us Saqib et al, 2018;Tang and Li, 2019;Zhao et al, 2019;Gao and Liu, 2020;Santos et al, 2020;Yao et al, 2020) can be useful in attaining optimization issues.…”

Section: Introductionmentioning

confidence: 99%

Optimality Condition and Distributed Optimization for Economic Dispatch Using a Novel Weighted Incremental Cost Consensus Approach

et al. 2022

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This research report investigates a novel optimization approach for the economic dispatch problem (EDP) based on the weighted sum of generators’ costs under supply-demand balance. Unlike conventional approaches, we present a distributed optimization approach that ensures optimality using weighted incremental cost (IC) consensus and sign-consensus error convergence. We can apply the optimization of a weighted sum of generators’ costs to address several constraints, such as capacity and environmental constraints, in addition to the supply-demand balance. The proposed distributed weighted incremental cost consensus approach has been applied to the IEEE-30 bus and IEEE-118 bus systems over a communication topology. The results indicate the efficacy of weights to address generation constraints and the convergence of weighted ICs under supply-demand balance.

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Section: Introductionmentioning

confidence: 99%

Optimality Condition and Distributed Optimization for Economic Dispatch Using a Novel Weighted Incremental Cost Consensus Approach

et al. 2022

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A distributed algorithm with network‐independent step‐size and event‐triggered mechanism for economic dispatch problem

Chen,

Yang,

et al. 2024

Int J Network Mgmt

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The economic dispatch problem (EDP) poses a significant challenge in energy management for modern power systems, particularly as these systems undergo expansion. This growth escalates the demand for communication resources and increases the risk of communication failures. To address this challenge, we propose a distributed algorithm with network‐independent step sizes and an event‐triggered mechanism, which reduces communication requirements and enhances adaptability. Unlike traditional methods, our algorithm uses network‐independent step sizes derived from each agent's local cost functions, thus eliminating the need for detailed network topology knowledge. The theoretical derivation identifies a range of step size values that depend solely on the objective function's strong convexity and the gradient's Lipschitz continuity. Furthermore, the proposed algorithm is shown to achieve a linear convergence rate, assuming the event triggering threshold criteria are met for linear convergence. Numerical experiments further validate the effectiveness and advantages of our proposed distributed algorithm by demonstrating its ability to maintain good convergence characteristics while reducing communication frequency.

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Event-Triggered Algorithms for Distributed Economic Dispatch

Lü

Liao

et al. 2022

Wireless Networks

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Distributed event‐triggered scheme for economic dispatch in power systems with uncoordinated step‐sizes

Cited by 9 publications

References 49 publications

Optimality Condition and Distributed Optimization for Economic Dispatch Using a Novel Weighted Incremental Cost Consensus Approach

Optimality Condition and Distributed Optimization for Economic Dispatch Using a Novel Weighted Incremental Cost Consensus Approach

A distributed algorithm with network‐independent step‐size and event‐triggered mechanism for economic dispatch problem

Event-Triggered Algorithms for Distributed Economic Dispatch

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