Rachita R. Sarangi , Prakash K. Ray , Asit Mohanty , Shafi Khadem , Sandipan Patra
{"title":"Enhancing DC microgrid security: A comprehensive review of protection challenges and solutions","authors":"Rachita R. Sarangi , Prakash K. Ray , Asit Mohanty , Shafi Khadem , Sandipan Patra","doi":"10.1016/j.ijepes.2025.110687","DOIUrl":null,"url":null,"abstract":"<div><div>DC microgrids (DCMG) hold great potential for effectively managing energy in residential, commercial, and industrial settings due to their ease of integration, distribution, economic advantages, energy efficiency, flexibility, and reliability. However, the adoption of DCMG is significantly hindered by the intermittent nature of Renewable Energy Sources (RES) and the lack of efficient and accurate commercial protection strategies which could enhance reliability and stability. To encourage new researchers and technology developers to create DCMG protection schemes, standards and technologies similar to those in AC microgrids (ACMG), a thorough evaluation of the existing DCMG protection methods is essential. It is crucial to propose appropriate solutions and future directions for challenges encountered in DCMG protection schemes, such as bidirectional power flow, grounding, and high-impedance fault protection. This study also emphasises the importance of intelligent and self-healing power systems, highlighting the growing significance of incorporating Artificial Intelligence (AI) into a cyber secured system. A comprehensive literature review and analysis of existing approaches were conducted to identify research gaps and future opportunities. The goal is to motivate academics, regulators, and policymakers to evaluate and establish standards for DCMG protection that are analogous to those in ACMG, ensuring the stability and durability of DCMG systems.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110687"},"PeriodicalIF":5.0000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061525002388","RegionNum":2,"RegionCategory":"工程技术","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
DC microgrids (DCMG) hold great potential for effectively managing energy in residential, commercial, and industrial settings due to their ease of integration, distribution, economic advantages, energy efficiency, flexibility, and reliability. However, the adoption of DCMG is significantly hindered by the intermittent nature of Renewable Energy Sources (RES) and the lack of efficient and accurate commercial protection strategies which could enhance reliability and stability. To encourage new researchers and technology developers to create DCMG protection schemes, standards and technologies similar to those in AC microgrids (ACMG), a thorough evaluation of the existing DCMG protection methods is essential. It is crucial to propose appropriate solutions and future directions for challenges encountered in DCMG protection schemes, such as bidirectional power flow, grounding, and high-impedance fault protection. This study also emphasises the importance of intelligent and self-healing power systems, highlighting the growing significance of incorporating Artificial Intelligence (AI) into a cyber secured system. A comprehensive literature review and analysis of existing approaches were conducted to identify research gaps and future opportunities. The goal is to motivate academics, regulators, and policymakers to evaluate and establish standards for DCMG protection that are analogous to those in ACMG, ensuring the stability and durability of DCMG systems.
期刊介绍:
The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces.
As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.