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Customer-driven demand response model for facilitating roof-top PV and wind power integration

机译:客户驱动的需求响应模型,用于促进屋顶光伏和风能集成

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摘要

Integrating wind and solar energy resources poses intermittency to power systems, which faces independent system operators with new technical and economic challenges. This study proposes a novel model to integrate the uncertainties of wind power on the supply side and roof-top solar photovoltaic (PV) on the demand side. To cope with their uncertainties, a demand response (DR) aggregator is proposed, which is enabled to participate in reserve markets. To this end, a new DR model is developed considering both customers' options to reduce and increase load through the DR aggregator. As such, besides improving the existing DR models (load shifting and curtailment), two DR programmes, i.e. load growth and load recovery, are mathematically modelled. Numerical studies indicate the effectiveness of the proposed model to reduce the total operation cost of the system and facilitate the integration of wind power and roof-top PV.
机译:风能和太阳能资源的整合给电力系统带来了间歇性,电力系统面临着独立系统运营商面临的新技术和经济挑战。这项研究提出了一个新颖的模型,将供应方的风力发电和需求方的屋顶太阳能光伏(PV)的不确定性综合起来。为了解决它们的不确定性,提出了一种需求响应(DR)聚合器,该聚合器可以参与储备市场。为此,开发了一种新的灾难恢复模型,同时考虑了两个客户的选择,以减少和增加通过灾难恢复聚合器的负载。因此,除了改进现有的灾难恢复模型(负载转移和削减)之外,还对两个灾难恢复程序(即负载增长和负载恢复)进行了数学建模。数值研究表明,所提出的模型在降低系统的总运营成本并促进风能和屋顶光伏发电的集成方面是有效的。

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