M. Samy , Naggar H. Saad , A.Y. Hassan , M. Mokhtar
{"title":"Hybrid optimized droop control for DC microgrid with storage element based on CMPN algorithm","authors":"M. Samy , Naggar H. Saad , A.Y. Hassan , M. Mokhtar","doi":"10.1016/j.asej.2025.103520","DOIUrl":null,"url":null,"abstract":"<div><div>Green energy management is a key research focus to support de-carbonization goals by reducing harmful emissions. DC microgrid specifically helps to reach these goals as it provides numerous advantages over AC microgrid. However, challenges such as voltage regulation and power sharing mismatch must be addressed. This paper applies a novel optimization algorithm to determine the optimal droop coefficient and regulate DC bus voltage using an adaptive PID controller. The PID parameters are tuned using three techniques: Fuzzy Logic Controller (FLC), Continuous Mixed P-Norm Controller (CMPN), and Fractional Order Controller (FO). These tuning techniques essentially aim to preserve DC bus voltage at the reference value under any perturbation. Each tuning technique is integrated with the optimized droop coefficient to improve the voltage regulation and power sharing. Comprehensive simulations validate and compare the effectiveness of these controllers in achieving robust and reliable DC microgrid operation.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103520"},"PeriodicalIF":6.0000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090447925002618","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Green energy management is a key research focus to support de-carbonization goals by reducing harmful emissions. DC microgrid specifically helps to reach these goals as it provides numerous advantages over AC microgrid. However, challenges such as voltage regulation and power sharing mismatch must be addressed. This paper applies a novel optimization algorithm to determine the optimal droop coefficient and regulate DC bus voltage using an adaptive PID controller. The PID parameters are tuned using three techniques: Fuzzy Logic Controller (FLC), Continuous Mixed P-Norm Controller (CMPN), and Fractional Order Controller (FO). These tuning techniques essentially aim to preserve DC bus voltage at the reference value under any perturbation. Each tuning technique is integrated with the optimized droop coefficient to improve the voltage regulation and power sharing. Comprehensive simulations validate and compare the effectiveness of these controllers in achieving robust and reliable DC microgrid operation.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.