Scheduling of Residential Appliances Using DSM with Energy Storage in Smart Grid Environment

N. Babu, S. Vijay, D. Saha, L. Saikia
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引用次数: 1

Abstract

Demand side management (DSM), with the integration of energy storage devices in the user end has an essential role to play in the development of futuristic smart grids. In this proposed work, a smart power system is presented where each residential user is equipped with an energy storage device. A DSM technique is proposed by rescheduling the operating time slots of each appliance, to minimize the energy cost and also peak-to-average ratio of the system. Particle swarm optimization (PSO) is employed for the autonomous rescheduling purpose of each user's energy consumption pattern for different appliances. Simulations are carried out for all the user's appliances with and without DSM along with Energy consumption systems and battery storage devices with the PSO algorithm in order to reshape the load profile in the proposed model.
智能电网环境下用电需求侧管理与储能的家用电器调度
需求侧管理(DSM)与用户端储能设备的集成在未来智能电网的发展中发挥着至关重要的作用。在本工作中,提出了一个智能电力系统,其中每个住宅用户都配备了储能设备。提出了一种用电需求侧管理技术,通过对各用电设备的运行时隙进行重新调度,使系统的能耗和峰均比达到最小。采用粒子群算法对用户不同家电的能耗模式进行自主重调度。采用PSO算法对所有用户的设备、能耗系统和电池存储设备进行了模拟,以重塑所提出模型中的负载分布。
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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