Fuzzy clustering applied to a demand response model in a smart grid contingency scenario

R. Pereira, R. Melício, V. Mendes, J. Figueiredo, J. Martins, A. Fagundes, J. Quadrado
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引用次数: 5

Abstract

This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.
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基于模糊聚类的智能电网应急需求响应模型
本文重点分析了考虑突发事件的智能电网需求响应模型。将模糊聚类技术应用于开发的需求响应模型,并对应急情景进行了分析。描述了模型考虑事项和体系结构。需求响应开发模型旨在支持消费者就其消费需求和可能的经济效益做出决策。
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