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Demand Side Management in Power Distribution Systems Algorithmic Development for Peak Demand Shaving

机译:配电系统中的需求侧管理峰值需求削减的算法开发

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摘要

Overloading is one of the most significant challenges in the electric network. It causes abrasion and sometimes energy shortages. In the past, this problem used to be solved by suppliers of electricity. Over the last decade, researchers have been working on new technological advancements within the realm of "smart grid", where electricity customers and consumers are offered a more active role than they used to have earlier, and they are able to manage their loads and electricity consumptions. This opportunity is called demand side management (DSM). This system is suitable for residential houses or commercial buildings. With demand-side management, systems become more intelligent, and both supplier and consumer sides become active. Demand-side manager works as a time manager, where it controls all loads and decides which load to be active in different time periods.;This thesis is focused on development of a demand-side management control algorithm in a residential house, aiming at the creation of higher flexibility in demand and a better integration of the renewable technologies locally. To make a decent algorithm applicable to real world scenarios, physical models of appliances within a house are developed and several different scenarios are investigated, where customer comfort and local limits are taken into consideration.
机译:过载是电网中最重大的挑战之一。它会导致磨损,有时甚至会导致能源短缺。过去,这个问题曾经由电力供应商解决。在过去的十年中,研究人员一直致力于“智能电网”领域的新技术进步,在该领域中,电力客户和消费者所承担的角色比以前更活跃,并且他们能够管理其负荷和电力消费。该机会称为需求方管理(DSM)。该系统适用于住宅或商业建筑。通过需求侧管理,系统变得更加智能,供应商和消费者双方都变得活跃起来。需求方管理器充当时间管理器,它控制所有负载并确定在不同时间段内哪个负载处于活动状态。本论文着眼于住宅中需求侧管理控制算法的开发,旨在创造更高的需求灵活性,并更好地在当地整合可再生能源技术。为了使一种体面的算法适用于现实世界的场景,开发了房屋内电器的物理模型,并研究了几种不同的场景,其中考虑了客户的舒适度和本地限制。

著录项

  • 作者

    Aygun, Ali.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Energy.;Electrical engineering.
  • 学位 M.S.
  • 年度 2018
  • 页码 73 p.
  • 总页数 73
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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