{"title":"High-Efficiency Partial Power Converter for Integration of Second-Life Battery Energy Storage Systems in DC Microgrids","authors":"Naser Hassanpour;Andrii Chub;Neelesh Yadav;Andrei Blinov;Dmitri Vinnikov","doi":"10.1109/OJIES.2024.3389466","DOIUrl":null,"url":null,"abstract":"This article presents a power electronic interface for battery energy storage integration into a dc microgrid. It is based on a partial power converter (PPC) employing a current-fed dc–dc topology. The article provides an analysis of application requirements and proposes an optimal second-life battery stack configuration to leverage all the benefits of the PPC technology. This converter can regulate current at zero series voltage between a battery stack and a dc microgrid using the topology morphing control. The article shows how the converter and its control system should be designed to operate in a droop-controlled dc microgrid. The experimental results demonstrate the converter's capability to operate under droop control, implementing both voltage step-up and -down regulation with a smooth transition between converter modes. The experimental efficiency reaches as high as 99.45%, demonstrating an efficient approach for second-life battery energy storage integration into dc microgrid.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"5 ","pages":"847-860"},"PeriodicalIF":5.2000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10502154","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10502154/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This article presents a power electronic interface for battery energy storage integration into a dc microgrid. It is based on a partial power converter (PPC) employing a current-fed dc–dc topology. The article provides an analysis of application requirements and proposes an optimal second-life battery stack configuration to leverage all the benefits of the PPC technology. This converter can regulate current at zero series voltage between a battery stack and a dc microgrid using the topology morphing control. The article shows how the converter and its control system should be designed to operate in a droop-controlled dc microgrid. The experimental results demonstrate the converter's capability to operate under droop control, implementing both voltage step-up and -down regulation with a smooth transition between converter modes. The experimental efficiency reaches as high as 99.45%, demonstrating an efficient approach for second-life battery energy storage integration into dc microgrid.
期刊介绍:
The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments.
Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.