Asit Mohanty , A.K. Ramasamy , Renuga Verayiah , Satabdi Bastia , Sarthak Swaroop Dash , Manzoore Elahi M. Soudagar , T.M. Yunus Khan , Erdem Cuce
{"title":"Smart grid and application of big data: Opportunities and challenges","authors":"Asit Mohanty , A.K. Ramasamy , Renuga Verayiah , Satabdi Bastia , Sarthak Swaroop Dash , Manzoore Elahi M. Soudagar , T.M. Yunus Khan , Erdem Cuce","doi":"10.1016/j.seta.2024.104011","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid technological advancements in the electrical energy sector are generating a significant volume of data that profoundly influences the operations of system operators, grid users, and GENCOs. In this context, Big Data emerges as a valuable tool for state estimation, addressing control issues, facilitating forecasting, and enhancing the involvement of various market agents and players in the energy sector. Intelligent or smart devices, utilizing information and communication technologies, oversee and manage equipment across the entire energy generation to utilization spectrum. To earn the distinction of being “intelligent or smart,” substantial data exchange occurs between grid instruments and project or business entities. This exchange of information, tailored to consumption and application needs, facilitates cost-effective optimized bidirectional power flow between power plants and end-use customers. For the effective control, monitoring, and coordination of smart appliances within a smart grid subsystem; the exchange of data is indispensable. Energy companies, however, confront challenges in efficiently managing vast amounts of data. The optimal and apt implementation of smart-grid big data analytics becomes imperative to successfully navigate and address these challenges. This work sheds light on the execution and utilization of BDA (Big Data Analysis) in the smart grid. The advantages, challenges, and consequences of implementing these techniques; and strategies for the computation and transmission of data are proposed here.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 104011"},"PeriodicalIF":7.1000,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138824004077","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid technological advancements in the electrical energy sector are generating a significant volume of data that profoundly influences the operations of system operators, grid users, and GENCOs. In this context, Big Data emerges as a valuable tool for state estimation, addressing control issues, facilitating forecasting, and enhancing the involvement of various market agents and players in the energy sector. Intelligent or smart devices, utilizing information and communication technologies, oversee and manage equipment across the entire energy generation to utilization spectrum. To earn the distinction of being “intelligent or smart,” substantial data exchange occurs between grid instruments and project or business entities. This exchange of information, tailored to consumption and application needs, facilitates cost-effective optimized bidirectional power flow between power plants and end-use customers. For the effective control, monitoring, and coordination of smart appliances within a smart grid subsystem; the exchange of data is indispensable. Energy companies, however, confront challenges in efficiently managing vast amounts of data. The optimal and apt implementation of smart-grid big data analytics becomes imperative to successfully navigate and address these challenges. This work sheds light on the execution and utilization of BDA (Big Data Analysis) in the smart grid. The advantages, challenges, and consequences of implementing these techniques; and strategies for the computation and transmission of data are proposed here.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.