Distributed Control for Small Customer Energy Demand Management

V. V. Ranade, J. Beal
{"title":"Distributed Control for Small Customer Energy Demand Management","authors":"V. V. Ranade, J. Beal","doi":"10.1109/SASO.2010.21","DOIUrl":null,"url":null,"abstract":"We present the Colored Power algorithm, which is designed to provide collaborative electricity demand shaping for residential and small-business customers. Demand shaping for this market sector is an important and challenging problem, since the vast number of such customers collectively account for a large fraction of total electricity consumption, yet each individual's consumption is small. Under the PACEM system, customers participate by \"coloring\" their appliances with a qualitative priority such as \"can be shut off at peak power.\" Demand shaping for this system must be scalable to millions of appliances, operate quickly and fairly across customers, and act on any given appliance infrequently. This last constraint is particularly challenging: if an appliance that switches on or off must not be switched again for many minutes, then at any instant, a large fraction of appliances may not be controllable. The Colored Power algorithm addresses these challenges using randomized local actions. When the action distribution is adjusted to compensate for currently uncontrollable appliances, standard feedback controllers can be used to produce local actions that combine to create the desired global effect. Experiments in simulation verify that the algorithm provides fair control that is fast, scalable, and robust enough to be realistically deployable.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASO.2010.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

Abstract

We present the Colored Power algorithm, which is designed to provide collaborative electricity demand shaping for residential and small-business customers. Demand shaping for this market sector is an important and challenging problem, since the vast number of such customers collectively account for a large fraction of total electricity consumption, yet each individual's consumption is small. Under the PACEM system, customers participate by "coloring" their appliances with a qualitative priority such as "can be shut off at peak power." Demand shaping for this system must be scalable to millions of appliances, operate quickly and fairly across customers, and act on any given appliance infrequently. This last constraint is particularly challenging: if an appliance that switches on or off must not be switched again for many minutes, then at any instant, a large fraction of appliances may not be controllable. The Colored Power algorithm addresses these challenges using randomized local actions. When the action distribution is adjusted to compensate for currently uncontrollable appliances, standard feedback controllers can be used to produce local actions that combine to create the desired global effect. Experiments in simulation verify that the algorithm provides fair control that is fast, scalable, and robust enough to be realistically deployable.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
小客户能源需求管理的分布式控制
我们提出了彩色电力算法,该算法旨在为住宅和小型企业客户提供协同电力需求塑造。这一市场部门的需求形成是一个重要而具有挑战性的问题,因为大量这样的客户合计占总用电量的很大一部分,但每个人的用电量很小。在PACEM系统下,用户通过给他们的电器“上色”来参与,比如“在用电高峰时可以关闭”。此系统的需求塑造必须可扩展到数百万个设备,在客户之间快速和公平地操作,并且不频繁地作用于任何给定的设备。最后一个限制是特别具有挑战性的:如果打开或关闭的设备必须在许多分钟内不能再次打开或关闭,那么在任何时刻,很大一部分设备都可能无法控制。Colored Power算法使用随机的局部动作来解决这些挑战。当调整动作分布以补偿当前不可控的设备时,标准反馈控制器可用于产生局部动作,这些动作结合起来产生所需的全局效果。仿真实验验证了该算法提供了快速、可扩展和足够健壮的公平控制,可以实际部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimal Decentralized Formation of k-Member Partnerships Planning with Utility and State Trajectory Constraints in Self-Healing Automotive Systems Swarming Pattern Analysis to Identify IED Threat Quantitative Emergence -- A Refined Approach Based on Divergence Measures VCAE: A Virtualization and Consolidation Analysis Engine for Large Scale Data Centers
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1