Demand side management algorithms and modeling in smart grids A customer's behavior based study

E. Et-Tolba, M. Maaroufi, M. Ouassaid
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引用次数: 34

Abstract

This paper presents algorithms and architecture models for a home energy management system. It's based on customers' behavior that is modeled by a decision-making chain, and smart appliances' use for demand side management. The proposed architecture is scalable and extensible to upper levels of smart grid as the development approach used is bottom-up. Once the model is validated for home use, we can go up and apply it for holdings, factories, and micro-grids contexts. Scalability models and strategies are also presented and discussed. Ensuring supply and demand balance at real time is the main problematic of smart grids. The proposed solution meets this objective, because it allows large scale renewable energy resources integration. Hence, it leads to global energy efficiency and demand side management optimization in smart grids.
智能电网中需求侧管理算法与建模——基于客户行为的研究
本文提出了一种家庭能源管理系统的算法和体系结构模型。它的基础是通过决策链建模的客户行为,以及智能家电用于需求侧管理。由于所使用的开发方法是自底向上的,因此所提出的体系结构是可伸缩的,并且可扩展到智能电网的上层。一旦该模型在家庭使用中得到验证,我们就可以将其应用于控股、工厂和微电网环境。还提出并讨论了可伸缩性模型和策略。保证实时的供需平衡是智能电网面临的主要问题。所提出的解决方案满足了这一目标,因为它允许大规模的可再生能源整合。因此,它导致智能电网的全球能源效率和需求侧管理优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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