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An aggregated fridge-freezer peak shaving and valley filling control strategy for enhanced grid operations

机译:总体的冰箱冰柜削峰和谷底填充控制策略可增强电网运行

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The need for fast response demand side participation (DSP) has never been greater due to increased wind power penetration. White domestic goods suppliers are currently developing a ‘smart’ chip for a range of domestic appliances (e.g. refrigeration units, tumble dryers and storage heaters) to support the home as a DSP unit in future power systems. This paper presents an aggregated population-based model of a single compressor fridge-freezer. Two scenarios (i.e. energy efficiency class and size) for valley filling and peak shaving are examined to quantify and value DSP savings in 2020. The analysis shows potential peak reductions of 40 MW to 55 MW are achievable in the Single wholesale Electricity Market of Ireland (i.e. the test system), and valley demand increases of up to 30 MW. The study also shows the importance of the control strategy start time and the staggering of the devices to obtain the desired filling or shaving effect.
机译:由于增加了风能渗透,对快速响应需求方参与(DSP)的需求从未如此强烈。白人家庭用品供应商目前正在为一系列家用电器(例如制冷设备,滚筒式干衣机和储藏加热器)开发“智能”芯片,以支持家庭作为未来电源系统中的DSP单元。本文提出了基于总人口的单压缩机冰箱冰柜模型。研究了填谷和削峰的两种方案(即能效等级和大小),以量化和评估2020年DSP节省的成本。分析显示,在爱尔兰的单一批发电力市场中,可以实现40 MW到55 MW的潜在峰值减少量(即测试系统),谷底需求最多增加30 MW。研究还显示了控制策略启动时间和设备交错以获得所需的填充或剃刮效果的重要性。

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