Distributed model predictive control strategy for microgrid frequency regulation

IF 4.7 3区工程技术 Q2 ENERGY & FUELS

Energy Reports Pub Date : 2025-01-08 DOI:10.1016/j.egyr.2024.12.071

Lakshmi satya nagasri Dangeti, Marimuthu R.

{"title":"Distributed model predictive control strategy for microgrid frequency regulation","authors":"Lakshmi satya nagasri Dangeti, Marimuthu R.","doi":"10.1016/j.egyr.2024.12.071","DOIUrl":null,"url":null,"abstract":"<div><div>Frequency deviations in microgrids (MGs) often arise due to load fluctuations, posing a challenge for maintaining grid stability. Traditional inverter control does not actively predict future system behavior causing reliability issues. This work resolves this issue by proposing a distributed Model Predictive Control (DMPC) for microgrid frequency regulation. The MG components such as solar photovoltaic system, battery energy storage system (BESS), and voltage source inverter (VSI) modeling are presented. This is followed by modeling and implementation of the proposed DMPC controller. The model is developed in MATLAB/Simulink for validation. The results of MG stability with and without the proposed control scheme are discussed. The proposed model performance is compared with benchmark works, bode plot, and dynamic frequency response analysis. It is found that DMPC-based VSI control optimizes the performance and limits voltage fluctuation. Due to this, during the validation with the base load case, the frequency oscillations are minimal, with a variation of 0.002 Hz around the nominal value. This represents a deviation of less than 0.005%, indicating high precision and stability.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1158-1170"},"PeriodicalIF":4.7000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Reports","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352484724008874","RegionNum":3,"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

Frequency deviations in microgrids (MGs) often arise due to load fluctuations, posing a challenge for maintaining grid stability. Traditional inverter control does not actively predict future system behavior causing reliability issues. This work resolves this issue by proposing a distributed Model Predictive Control (DMPC) for microgrid frequency regulation. The MG components such as solar photovoltaic system, battery energy storage system (BESS), and voltage source inverter (VSI) modeling are presented. This is followed by modeling and implementation of the proposed DMPC controller. The model is developed in MATLAB/Simulink for validation. The results of MG stability with and without the proposed control scheme are discussed. The proposed model performance is compared with benchmark works, bode plot, and dynamic frequency response analysis. It is found that DMPC-based VSI control optimizes the performance and limits voltage fluctuation. Due to this, during the validation with the base load case, the frequency oscillations are minimal, with a variation of 0.002 Hz around the nominal value. This represents a deviation of less than 0.005%, indicating high precision and stability.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Energy Reports Energy-General Energy

CiteScore

8.20

自引率

13.50%

发文量

2608

审稿时长

38 days

期刊介绍： Energy Reports is a new online multidisciplinary open access journal which focuses on publishing new research in the area of Energy with a rapid review and publication time. Energy Reports will be open to direct submissions and also to submissions from other Elsevier Energy journals, whose Editors have determined that Energy Reports would be a better fit.