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