用户友好的智能电网需求侧管理

Hyoungchel Bae, Jongha Yoon, Yunseong Lee, Juho Lee, Taejin Kim, Jeongseok Yu, Sungrae Cho
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引用次数: 32

摘要

需求侧管理是智能电网需求响应系统的一项重要技术。传统的需求侧管理技术侧重于最小化电费或峰值负荷。最近的研究表明,用户希望在不牺牲用户便利的情况下减少电费。因此,我们引入了等待时间,以反映用户对DSM的舒适度。住院医生通常希望尽快完成工作,而不是减少等待时间。这些技术没有考虑到以前的使用模式,因此在家用电器中的使用受到限制。在本文中,我们提出了一个系统架构和算法的需求侧管理,称为用户友好型需求侧管理(UDSM)使用ICT。UDSM基于时变价格信息,考虑以下三个因素:电费、使用模式和反弹峰值负荷。我们提出的算法分为两个步骤。第一步,我们基于电费和使用模式制定目标函数,实现电费最小化和使用相似度最大化。然后,作为第二步,我们应用负载均衡算法来避免停电和最小化反弹峰值负载。本文算法在济州岛智能电网试验场的实际数据中进行了测试,实验结果验证了提出的DSM方案将运行时间转移到非高峰时段,从而显著节省了电费,提高了用户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User-friendly demand side management for smart grid networks
Demand side management (DSM) is an important technique for demand response (DR) system in smart grid networks. The DSM techniques traditionally have focused on minimizing electricity bill or peak load. More recent work reveals that users wish to reduce their electricity bills without sacrificing user convenience. Hence, waiting time has been introduced to reflect the user comfort for the DSM. Residents usually preferred that finish their work as soon as possible than less waiting time. These techniques have not taken previous usage pattern consideration, thus have been limited for use in home appliances. In this paper, we propose a system architecture and an algorithm for DSM referred to as user-friendly DSM (UDSM) using ICT. The UDSM is based on time-varying price information considering the following three-fold factors: electricity bill, usage pattern, and rebound peak load. Our proposed algorithm is divided into two steps. In the first step, we formulate the objective function based on electricity bill and usage pattern, and we minimize the electricity bill and maximize the usage similarity. Then, as the second step, we apply a load balancing algorithm to avoid blackout and to minimize rebound peak load. Our algorithm is tested in a real data from Jeju Island's smart grid test site, and experimental results validate the proposed DSM scheme shifts the operation to off-peak times and consequently leads to significant electricity bill saving and user satisfaction ratio.
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