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Efficient hybrid pricing for optimal DSM of home energy management system utilizing load precedence

机译:高效利用负载优先级的家用能管理系统最优DSM的高效混合定价

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摘要

This article proposes a home energy management system (HEMS) to minimize the energy consumption for residential loads by demand side management (DSM) based on pricing signals. With introduction of DSM, the electricity utility offers several pricing schemes to influence the consumers to participate actively in DSM by means of flexible load shifting. This article proposes a new, efficient, and hybrid pricing scheme and compares its effect on minimizing energy cost with existing pricing methods. The article has two main contributions, the first one being the introduction of the hybrid pricing strategy, which performs better than the existing pricing schemes with reduced complexity in terms of implementation. Secondly, it also studies the effect of load precedence in case of flexible load shifting, that is, when the consumers decide to shift their peak time load to a off-peak slot, the order at which individual loads are shifted affects the performance of the HEMS. The article also draws a comparison of the pricing schemes for a HEMS and proves the superiority of the proposed hybrid pricing method.
机译:本文提出了一种家庭能源管理系统(HEMS),以最小化基于定价信号的需求侧管理(DSM)的住宅负载的能耗。随着DSM的引入,电力实用程序提供了几种定价计划,以影响消费者通过灵活的负载转移积极参与DSM。本文提出了一种新的,有效和混合的定价方案,并比较了它对现有定价方法最小化能源成本的影响。本文有两个主要贡献,第一个是引入混合定价策略,这比现有定价计划更好,在实施方面具有降低的复杂性。其次,它还研究了柔性负载移位的载荷优先级的效果,即当消费者决定将其峰​​值时间负载转移到非峰值槽时,单个负载移位的顺序会影响性能下摆。本文还借鉴了下摆的定价方案的比较,并证明了提出的混合定价方法的优越性。

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