{"title":"An adaptive dual phase shift controller for the dual active bridge converter applied in active power transmission and control of microgrid","authors":"Anupam Kumar , Hiramani Shukla , Diwaker Pathak , Subhanarayan Sahoo , Shubhendra Pratap Singh","doi":"10.1016/j.compeleceng.2025.110183","DOIUrl":null,"url":null,"abstract":"<div><div>To meet the efficient energy conversion in dual active bridge (DAB) converter-based microgrids, an optimum duty ratio generation is the foremost challenge for the researchers. Therefore, to optimize the current stress on DABs and minimize the conduction losses & reactive power, the current study proposes a novel minimum current point tracking (MCPT) assisted adaptive dual phase shift (DPS) controller for the microgrids. The proposed controller incorporates the simple structure and the conventional perturb and observe (P&O) algorithm to track the active power accurately and transmit it for the optimum phase shift generation. Due to the simple structure of the P&O algorithm, the introduced controller exhibits parameter independence and eliminates the requirement of convoluted system modeling. A comparative study of the introduced controller with its extended phase shift (EPS) counterpart is put through to show the promising performance of the proposed controller. Simulation studies are carried out in the MATLAB/Simulink environment, whereas, the experimental studies are carried away on the DAB prototype regulated through a microcontroller (TI-piccolo 280049C).</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110183"},"PeriodicalIF":4.0000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625001260","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
To meet the efficient energy conversion in dual active bridge (DAB) converter-based microgrids, an optimum duty ratio generation is the foremost challenge for the researchers. Therefore, to optimize the current stress on DABs and minimize the conduction losses & reactive power, the current study proposes a novel minimum current point tracking (MCPT) assisted adaptive dual phase shift (DPS) controller for the microgrids. The proposed controller incorporates the simple structure and the conventional perturb and observe (P&O) algorithm to track the active power accurately and transmit it for the optimum phase shift generation. Due to the simple structure of the P&O algorithm, the introduced controller exhibits parameter independence and eliminates the requirement of convoluted system modeling. A comparative study of the introduced controller with its extended phase shift (EPS) counterpart is put through to show the promising performance of the proposed controller. Simulation studies are carried out in the MATLAB/Simulink environment, whereas, the experimental studies are carried away on the DAB prototype regulated through a microcontroller (TI-piccolo 280049C).
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.