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首页> 外文期刊>International Journal of Production Research >Scheduling a storage-augmented discrete production facility under incentive-based demand response
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Scheduling a storage-augmented discrete production facility under incentive-based demand response

机译:根据激励的需求响应安排存储增强的离散生产设施

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Demand response (DR) is considered as one of the most important measures for balancing energy supply and demand in the smart grid paradigm. Incentive-based programs, one manifestation of DR, contribute to short-term system stability and prevent critical periods when system stability is at risk by enabling the system operator (SO) to directly change total energy demand. The fact that a third party would be empowered to interfere with internal operations is, however, also one of the major drawbacks of DR that prevents especially industrial consumers from participating with full capacity in such programs. This paper considers an alternative Incentive-based program with application to a discrete manufacturing facility where load reduction curves (LRCs) are generated a priori outlining the potential load reduction in the DR period. The SO uses the LRC to determine the desired level of load reduction for critical periods. To illustrate the generation of the LRC, this paper builds on a flexible flow shop (FFS) formulation for a discrete manufacturing facility and presents a model that includes multiple machine modes and product- and machine-specific energy consumption trajectories. Based on the FFS, a procedure is developed to generate the LRC. The paper also investigates the potential of including a battery energy storage system (BESS) into the production facility and illustrates the effects of the BESS on the LRC.
机译:需求响应(DR)被认为是平衡智能电网范式中能源供应和需求的最重要措施之一。基于激励的计划,博士的一个表现,有助于短期系统稳定性,并通过使系统操作员(SO)直接改变总能源需求,为系统稳定性存在风险时,防止关键时期。然而,第三方将有权干扰内部行动的事实也是防止尤其是工业消费者参与此类计划中的全部能力的主要缺点之一。本文考虑了一种基于替代激励的基于激励的程序,其应用于分立的制造工厂,其中产生负载减少曲线(LRC)概述概述DR周期潜在负载降低的潜在负载。因此,使用LRC来确定关键时段的所需负载级别。为了说明LRC的生成,本文在柔性流量店(FFS)配方上构建了离散的制造设施,并提出了一种包括多种机器模式和产品和机器特定能耗轨迹的模型。基于FFS,开发了一种程序以生成LRC。本文还研究了将电池储能系统(BESS)包含到生产设施中的潜力,并说明了BESS在LRC上的影响。

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