Lei Huang, Wei Sun, Qian Zhang, Qiyue Li, Weitao Li
{"title":"Hierarchical collaborative control for real-time economic dispatch and accurate frequency regulation of AC islanded microgrid","authors":"Lei Huang, Wei Sun, Qian Zhang, Qiyue Li, Weitao Li","doi":"10.1016/j.segan.2025.101966","DOIUrl":null,"url":null,"abstract":"<div><div>In islanded microgrids (IMGs) characterized by a significant proportion of renewable energy, real-time economic dispatch and frequency control coordination are paramount. Conventional grid-forming (GFM) control methods fail to ensure that renewable distributed generators (RDGs) operate at their maximum power point (MPP), leading to suboptimal economic performance. Conversely, grid-following (GFL) control methods prevent RDGs from participating in frequency regulation, resulting in diminished frequency stability. To address this challenge, this paper introduces a hierarchical collaborative control strategy for real-time dispatch and frequency control in IMGs. The proposed strategy adopts a hierarchical control architecture, comprising primary control, secondary control, and real-time dispatch layers. The real-time dispatch layer employs the proposed distributed algorithm to determine the economically optimal output power for each dispatchable unit. Meanwhile, the primary and secondary control layers utilize decentralized algorithms to regulate the frequency and control the output power based on real-time dispatch outcomes. In the proposed strategy, RDGs are capable of participating in frequency regulation while operating at their MPP, thereby ensuring both stability and economic efficiency in high-penetration renewable IMGs. Test results demonstrate that compared to existing strategies, the proposed strategy achieves more comprehensive control performance, encompassing economically optimal real-time dispatch and accurate frequency control.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101966"},"PeriodicalIF":5.6000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Grids & Networks","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352467725003480","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
In islanded microgrids (IMGs) characterized by a significant proportion of renewable energy, real-time economic dispatch and frequency control coordination are paramount. Conventional grid-forming (GFM) control methods fail to ensure that renewable distributed generators (RDGs) operate at their maximum power point (MPP), leading to suboptimal economic performance. Conversely, grid-following (GFL) control methods prevent RDGs from participating in frequency regulation, resulting in diminished frequency stability. To address this challenge, this paper introduces a hierarchical collaborative control strategy for real-time dispatch and frequency control in IMGs. The proposed strategy adopts a hierarchical control architecture, comprising primary control, secondary control, and real-time dispatch layers. The real-time dispatch layer employs the proposed distributed algorithm to determine the economically optimal output power for each dispatchable unit. Meanwhile, the primary and secondary control layers utilize decentralized algorithms to regulate the frequency and control the output power based on real-time dispatch outcomes. In the proposed strategy, RDGs are capable of participating in frequency regulation while operating at their MPP, thereby ensuring both stability and economic efficiency in high-penetration renewable IMGs. Test results demonstrate that compared to existing strategies, the proposed strategy achieves more comprehensive control performance, encompassing economically optimal real-time dispatch and accurate frequency control.
期刊介绍:
Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.