直流picgrids作为办公楼的备用电源

H. Khadilkar, V. Chandan, Sandeep Kalra, S. Ghai, Zainul Charbiwala, T. Ganu, R. Kunnath, C. Lim, D. Seetharam
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引用次数: 7

摘要

发展中国家的办公楼在停电期间采用带逆变器和/或柴油发电机的备用电池,为照明、空调和计算负载等基本负载供电。由于这些备份解决方案价格昂贵且效率低下,因此它们占运营费用的很大一部分。为了解决这个问题,我们建议使用一个个人舒适系统(一个说明性的配置可以包括一个LED灯和一个直流桌面风扇),该系统由计算设备中的电池供电。通过这种方法,可以通过两种机制实现成本节约,一是在停电时减少对大功率照明和空调的依赖,二是在最佳时间为电池充电,利用电力供应的可变成本。模拟表明,与目前的系统相比,这种方法的预期能源节约在26%左右。在本文中,我们提出了负载-电池组合的各种架构,一个基于动态规划的框架,可生成最佳充电/放电计划,并对所提出的方法进行了实验评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DC Picogrids as power backups for office buildings
Office buildings in developing countries employ battery backups with inverters and/or diesel generators to power essential loads such as lighting, air conditioning and computing loads during power cuts. Since these backup solutions are expensive and inefficient, they form a significant proportion of the operating expenses. To address this problem, we propose using a personal comfort system (an illustrative configuration can comprise a LED light and a DC desk fan) that is powered by batteries in computing devices. With this approach, cost savings are realized through two mechanisms, (i) by reducing the dependence on high-power lighting and air conditioning during times of power outage, and (ii) by charging the batteries at optimal times, taking advantage of the variable cost of power supply. Simulations show that the expected energy savings from this methodology are in the region of 26%, compared with the current system. In this paper, we present various architectures for the load-battery combination, a dynamic programming based framework that generates optimal charging/discharging schedules, and an experimental evaluation of the proposed approach.
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