Journal Article10.1016/j.apenergy.2023.121612
Distributed online prediction optimization algorithm for distributed energy resources considering the multi-periods optimal operation
Xing Yang Zhu,Xiangchen Hou,Junhui Li,Gangui Yan,Cuiping Li,Dongbo Wang +5 more
6
About: This article is published in Applied Energy. The article was published on 01 Oct 2023.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Improving ship energy efficiency: Models, methods, and applications
12
Marine alternative fuels for shipping decarbonization: Technologies, applications and challenges
Zhongwei Li,Yapeng Wang,Jianlin Cao,Lian Zhong Huang +3 more
9
Online optimization and tracking control strategy for battery energy storage in DC microgrids
Xing Yang Zhu,Dongbo Wang,Junhui Li,Cuiping Li,Min Liu,Bo Zhao +5 more
TL;DR: This paper proposes a fast time-varying OPF command tracking control algorithm for DC microgrids, utilizing measurement feedback and energy storage to track power commands, suppress voltage fluctuations, and ensure safe operation.
4
Shared energy storage assists the grid-connected two-layer online optimization control strategy of wind farm groups
Xingxu Zhu,Y.S. Zhang,Junhui Li,Haojun Liu,Zhiqiang Zhao,Cuiping Li,Zhi Li,Hongwei Zhou +7 more
2
A new voltage sensitivity-based distributed feedback online optimization for voltage control in active distribution networks
Sammy Kinga,Tamer F. Megahed,Haruichi Kanaya,Diaa‐Eldin A. Mansour +3 more
References
Optimal Power Flow Pursuit
TL;DR: This paper considers distribution networks featuring inverter-interfaced distributed energy resources, and develops distributed feedback controllers that continuously drive the inverter output powers to solutions of ac optimal power flow (OPF) problems.
301
Real-Time Optimal Power Flow
TL;DR: This paper builds on recent work to develop a real-time algorithm for AC optimal power flow, based on quasi-Newton methods, that uses second-order information to provide suboptimal solutions on a fast timescale, and can be shown to track the optimalPower flow solution when the estimated second- order information is sufficiently accurate.
273
Multiuser Optimization: Distributed Algorithms and Error Analysis
TL;DR: This paper considers the application of gradient-based distributed algorithms on an approximation of the multiuser problem and considers instances where user decisions are coupled, both in the objective and through nonlinear coupling constraints.
An Online Gradient Algorithm for Optimal Power Flow on Radial Networks
Lingwen Gan,Steven H. Low +1 more
TL;DR: It is shown how to greatly reduce the gradient computation in each iteration by using approximate gradient derived from linearized power flow equations, which suggests that any local minimum is almost as good as any strictly feasible point.
Optimal Power Flow of Power Systems Including Distributed Generation Units Using Sunflower Optimization Algorithm
TL;DR: Results confirm the flexibility, validation, and applicability of the introduced SFO-based OPF methodology when compared with the genetic algorithm.