A consensus approach for economic dispatch problem in a microgrid with random delay effects

Yu, Ming; Song, Chao; Feng, Shixian; Tan, Wen

doi:10.1016/j.ijepes.2019.105794

Cited by 31 publications

(35 citation statements)

References 15 publications

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“…. , N, the conventional IC consensus scheme as in Chen et al (2019) and Yu et al (2020) can be derived a specific result. Now, we derive an optimality condition from distributed optimization over a network point of view.…”

Section: Investigation Of Optimality Conditionmentioning

confidence: 99%

“…We take a balanced initial condition that can be achieved as seen in Xing et al (2019), Yu et al (2020), and references therein.…”

Section: Proposed Distributed Optimization Approachmentioning

confidence: 99%

“…Remark 4. The proposed distributed optimization protocol has two distinctions compared to the existing methods (Xing et al, 2019;Yu et al, 2020;Chen et al, 2019). First, the IC of a generator can be updated based on local information of weighted IC (rather than IC), which is applied to resolve weighted EDP (Eq.…”

Section: Proposed Distributed Optimization Approachmentioning

confidence: 99%

“…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%

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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: Investigation Of Optimality Conditionmentioning

confidence: 99%

“…We take a balanced initial condition that can be achieved as seen in Xing et al (2019), Yu et al (2020), and references therein.…”

Section: Proposed Distributed Optimization Approachmentioning

confidence: 99%

Section: Proposed Distributed Optimization Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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“…Yu M et al (2020) studied the effects of random delay on the distributed consensus-based algorithms in solving EDP. To guarantee the convergence of the algorithm under the generation constraints, a random variable was introduced in Yu M et al (2020) to model the random delay, and theoretical upper bounds of the delays were derived.…”

Section: Distributed Continuous-time Economic Dispatch With Communicamentioning

confidence: 99%

Recent progress on the study of distributed economic dispatch in smart grid: an overview

Wen

Liu

2021

Front Inform Technol Electron Eng

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Designing an efficient distributed economic dispatch (DED) strategy for the smart grid (SG) in the presence of multiple generators plays a paramount role in obtaining various benefits of a new generation power system, such as easy implementation, low maintenance cost, high energy efficiency, and strong robustness against uncertainties. It has drawn a lot of interest from a wide variety of scientific disciplines, including power engineering, control theory, and applied mathematics. We present a state-of-the-art review of some theoretical advances toward DED in the SG, with a focus on the literature published since 2015. We systematically review the recent results on this topic and subsequently categorize them into distributed discrete-and continuous-time economic dispatches of the SG in the presence of multiple generators. After reviewing the literature, we briefly present some future research directions in DED for the SG, including the distributed security economic dispatch of the SG, distributed fast economic dispatch in the SG with practical constraints, efficient initialization-free DED in the SG, DED in the SG in the presence of smart energy storage batteries and flexible loads, and DED in the SG with artificial intelligence technologies.

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Smart Microgrid in Hospital Community to Enhance Public Health

Renugadevi,

Maheswari

2023

Smart Grids for Smart Cities Volume 2

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A consensus approach for economic dispatch problem in a microgrid with random delay effects

Cited by 31 publications

References 15 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

Recent progress on the study of distributed economic dispatch in smart grid: an overview

Smart Microgrid in Hospital Community to Enhance Public Health

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