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Quantifying the effect on the load shifting potential of buildings due to ancillary service provision

机译:量化由于提供辅助服务而对建筑物的负载转移潜力的影响

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This paper analyzes the pessimistic effect on the inherent load shifting potential (LSP) of buildings due to the participation in the reserve market. A generic model-based optimization approach is deployed, which uses a validated dynamic model along with its experienced external and internal disturbances, to quantify the LSP in the presence of various price signals. The theoretical maximum LSP is obtained using a base energy price without the provision of ancillary services (AS). The deviation from the base case LSP is observed after including the time varying energy and the reserve price from the spot market. Factors affecting the LSP are found to be as: (1) physics of the model, (2) the nature of price signal and (3) the competency of the reserve price with respect to the energy price. Due to its simple formulation, low computation requirements, and modular nature, the method proposed in this paper can easily be deployed by retailers and system operators for the assessment of monetary incentives as well as qualified load type for various demand response (DR) services in liberalized markets.
机译:本文分析了由于参与储备市场而对建筑物的固有负荷转移潜力(LSP)的悲观影响。部署了一种基于模型的通用优化方法,该方法使用经过验证的动态模型及其经历的外部和内部干扰,在存在各种价格信号的情况下对LSP进行量化。在不提供辅助服务(AS)的情况下,使用基本能源价格即可获得理论上的最大LSP。在包括时变能量和现货市场的底价之后,观察到与基本情况LSP的偏差。发现影响LSP的因素有:(1)模型的物理原理,(2)价格信号的性质,以及(3)储备价格相对于能源价格的竞争力。由于其简单的表述,较低的计算要求和模块化的性质,本文提出的方法可以很容易地由零售商和系统运营商部署,以评估货币激励以及针对各种需求响应(DR)服务的合格负载类型。开放市场。

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