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Evaluation of residential customer elasticity for incentive based demand response programs

机译：评估基于激励的需求响应计划的居民客户弹性

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A key component to understanding demand response programs design is elasticity, which reflects customer reaction to economic offers. In this work, customer elasticity for Incentive Based Demand Response (IBDR) programs is estimated using data from two nation wide surveys and integrated with a detailed residential load model. In addition, incentive based elasticity is calculated at the individual appliance level since this is more effective for operations than at an aggregate value for a feeder. The concept of appliance base elasticity is derived from various contributions of each appliance in the aggregate load signal and the necessity of use for the customer. Results show that the needed customer incentive for certain loads, such as, lighting and washing is less than HVAC, but since the HVAC energy share in total load is much higher generally, it has greater elasticity. Considering the important role of HVAC in the aggregate load signal, the elasticity is studied in more detail using estimates of different thermostat settings. Analysis shows that elasticity of HVAC decreases while average power increases. To disaggregate the load signal for each appliance, a constrained non-negative matrix factorization (CNMF) method is proposed. In addition, this method is used to decompose the HVAC signal to identify different thermostat settings. (C) 2017 Published by Elsevier B.V.
机译：理解需求响应程序设计的关键因素是弹性，它反映了客户对经济报价的反应。在这项工作中，基于两次全国性调查的数据并与详细的住宅负荷模型相集成，估算了基于激励的需求响应（IBDR）计划的客户弹性。此外，基于激励的弹性是在单个设备级别上计算的，因为这对操作比在给料器的总值上更有效。设备基础弹性的概念源自于总负载信号中每个设备的各种贡献以及客户使用的必要性。结果表明，某些负载（例如照明和洗涤）所需的客户激励比HVAC少，但是由于HVAC在总负载中的能量份额通常要高得多，因此具有更大的弹性。考虑到HVAC在总负载信号中的重要作用，将使用不同恒温器设置的估计来更详细地研究弹性。分析表明，HVAC的弹性下降，而平均功率增加。为了分解每个设备的负载信号，提出了一种约束非负矩阵分解（CNMF）方法。另外，此方法用于分解HVAC信号以识别不同的恒温器设置。 （C）2017由Elsevier B.V.发布

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