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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives
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Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives

机译:企业范围内针对工业需求侧管理的优化:基本原理,进步和观点

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The active management of electricity demand, also referred to as demand side management (DSM), has been recognized as an effective approach to improving power grid performance and consumer benefits. Being large electricity consumers, the power-intensive process industries play a key role in DSM. In particular, enterprise-wide optimization (EWO) for industrial DSM has emerged as a major area of interest for both researchers and practitioners. In this work, we introduce the reader to the fundamentals of power system economics, provide a definition of DSM that reflects more strongly the consumer's perspective, and present a comprehensive review of existing works on EWO for industrial DSM. The review is organized into four parts, which correspond to the four main challenges that we identify as: (1) accurate modeling of operational flexibility, (2) integration of production and energy management, (3) decision-making across multiple time and space scales, and (4) optimization under uncertainty. Finally, we highlight research gaps and future opportunities in this area. (C) 2016 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译:电力需求的主动管理,也称为需求侧管理(DSM),已被认为是改善电网性能和消费者利益的有效方法。耗电量巨大的过程行业是大型用电者,在DSM中扮演着关键角色。特别是,工业DSM的企业范围优化(EWO)已成为研究人员和从业人员关注的主要领域。在本文中,我们向读者介绍了电力系统经济学的基础知识,提供了DSM的定义,可以更强烈地反映出消费者的观点,并提供了有关工业DSM的EWO现有工作的全面综述。审查分为四个部分,分别对应于我们确定的四个主要挑战:(1)准确建模运营灵活性,(2)生产与能源管理的集成,(3)跨多个时空的决策规模,以及(4)不确定性下的优化。最后,我们重点介绍了该领域的研究差距和未来机会。 (C)2016年化学工程师学会。由Elsevier B.V.发布。保留所有权利。

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