دانلود مقاله ISI انگلیسی شماره 88987
ترجمه فارسی عنوان مقاله

روشی جدید برای مدیریت انرژی مبتنی بر ضرر برای شبکه های هوشمند با استفاده از سیستم های چند عامل و سیستم های ذخیره سازی هوشمند

عنوان انگلیسی
A novel loss-based energy management approach for smart grids using multi-agent systems and intelligent storage systems
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
88987 2018 30 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Sustainable Cities and Society, Volume 39, May 2018, Pages 344-357

ترجمه کلمات کلیدی
شبکه های هوشمند سیستم های چندگانه، سیستم ذخیره سازی هوشمند پیش بینی داده ها، تلفات انرژی،
کلمات کلیدی انگلیسی
Smart grids; Multi-agent systems; Intelligent storage system; Data predictions; Energy losses;
پیش نمایش مقاله
پیش نمایش مقاله  روشی جدید برای مدیریت انرژی مبتنی بر ضرر برای شبکه های هوشمند با استفاده از سیستم های چند عامل و سیستم های ذخیره سازی هوشمند

چکیده انگلیسی

The smart grid integrates the use of information and Communication Technologies (ICTs) in order to ensure the interaction between its computational and physical elements. Moreover, it supports bidirectional information flows between the energy users and the utility grid that motivate energy users not simply to consume but also to generate energy and to share it with the utility grid and/or with other consumers. Many researches have addressed the problem of energy management in the smart grid context and have been done in order to offer maximum savings on energy bills as efficiently as possible. However, many algorithms presented in the literature do not exploit storage systems and/or present high energy losses. Taking into consideration energy losses, this research discusses the effects of these losses on consumers’ bill. Hence, we propose an agent-based solution that takes into consideration users’ loss minimization in the smart grid context. The contribution of this paper is twofold. Firstly, it highlights the effects of power loss on the energy cost in an electrical system. Secondly, a novel approach aiming to help the storage system meet consumers’ daily demands will be presented. Simulation results show that our proposal minimizes consumers’ energy costs and losses.