Towards Resilient Energy Infrastructures: A Comprehensive Review on the Role of Demand Response in Smart Grids

IF 7 2区工程技术 Q1 ENERGY & FUELS Sustainable Energy Technologies and Assessments Pub Date : 2025-02-01 Epub Date: 2025-01-09 DOI:10.1016/j.seta.2025.104170

Akhila K , Anju S Pillai , Krishna Priya R , Ahmed Al-Shahri

{"title":"Towards Resilient Energy Infrastructures: A Comprehensive Review on the Role of Demand Response in Smart Grids","authors":"Akhila K , Anju S Pillai , Krishna Priya R , Ahmed Al-Shahri","doi":"10.1016/j.seta.2025.104170","DOIUrl":null,"url":null,"abstract":"<div><div>Demand response (DR) plays a critical role in the advancement of smart grids, providing dynamic solutions to conventional energy management methods. This research review offers a comprehensive analysis of DR in smart grids, spanning from foundational principles to practical applications and their research implications. It explores various DR actions such as peak clipping and load shifting, delving into their mechanisms and effectiveness in optimizing energy usage. The study investigates DR pricing strategies and incentive schemes, customer and load segmentation for DR, and integrated DR frameworks, emphasizing their potential in demand-side management. The research also evaluates DR’s impact on cost and energy optimization, pollution reduction, and power grid resilience, shedding light on its multifaceted benefits for system efficiency and sustainability. Furthermore, it discusses the role of data analytics and machine learning in enabling proactive DR strategies, highlighting the significance of advanced techniques in informed decision-making. By synthesizing existing literature, this review contributes valuable insights for future research directions in the domain of energy management and sustainability within smart grids.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"74 ","pages":"Article 104170"},"PeriodicalIF":7.0000,"publicationDate":"2025-02-01","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/S2213138825000013","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}

引用次数: 0

Abstract

Demand response (DR) plays a critical role in the advancement of smart grids, providing dynamic solutions to conventional energy management methods. This research review offers a comprehensive analysis of DR in smart grids, spanning from foundational principles to practical applications and their research implications. It explores various DR actions such as peak clipping and load shifting, delving into their mechanisms and effectiveness in optimizing energy usage. The study investigates DR pricing strategies and incentive schemes, customer and load segmentation for DR, and integrated DR frameworks, emphasizing their potential in demand-side management. The research also evaluates DR’s impact on cost and energy optimization, pollution reduction, and power grid resilience, shedding light on its multifaceted benefits for system efficiency and sustainability. Furthermore, it discusses the role of data analytics and machine learning in enabling proactive DR strategies, highlighting the significance of advanced techniques in informed decision-making. By synthesizing existing literature, this review contributes valuable insights for future research directions in the domain of energy management and sustainability within smart grids.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

迈向弹性能源基础设施：对智能电网需求响应作用的全面回顾

需求响应（DR）在智能电网的发展中起着至关重要的作用，为传统的能源管理方法提供了动态的解决方案。本研究综述对智能电网中的DR进行了全面的分析，从基本原理到实际应用及其研究意义。它探讨了各种DR动作，如削峰和负载转移，深入研究其机制和优化能源使用的有效性。该研究调查了DR的定价策略和激励方案，DR的客户和负荷细分，以及集成DR框架，强调了它们在需求侧管理中的潜力。该研究还评估了DR对成本和能源优化、减少污染和电网弹性的影响，揭示了其对系统效率和可持续性的多方面好处。此外，它还讨论了数据分析和机器学习在实现主动DR策略中的作用，强调了先进技术在知情决策中的重要性。通过综合现有文献，本综述为智能电网能源管理和可持续性领域的未来研究方向提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Sustainable Energy Technologies and Assessments Energy-Renewable Energy, Sustainability and the Environment

CiteScore

12.70

自引率

12.50%

发文量

1091

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.