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首页> 外文期刊>Electric power systems research >The impact of Customer Baseline Load (CBL) calculation methods on Peak Time Rebate program offered to residential customers
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The impact of Customer Baseline Load (CBL) calculation methods on Peak Time Rebate program offered to residential customers

机译：客户基线负荷（CBL）计算方法对提供给住宅客户的高峰时段返利计划的影响

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This paper investigates the impact of CBL's performance on PTR programs offered to the residential customers. For the purpose of analysis, HighXofY (NYISO), exponential moving average (ISONE), regression methods and their adjusted forms are first introduced and then employed to calculate the CBL. Irish Commission for Energy Regulation (CER) smart metering trial dataset is used for this analysis. Furthermore, the metrics of accuracy, bias and Overall Performance Index (OPI) are introduced and then applied to carry out error analysis. Residential customers as opposed to industrial customers show a high degree of unpredictability due to multitudes of non-correlated personal and household activities. Therefore, an approach is also proposed in this paper to harness the randomness of individual customers' consumption. Also, it is necessary to examine how the metrics affect DR programs financially for the sake of reaching a valid conclusion about the overall performance of CBL methods. Consequently, a PTR program for a case of 260 customers is investigated as a case study. Results from this case study as well as their discussion are provided at the end. (C) 2016 Elsevier B.V. All rights reserved.
机译：本文调查了CBL的绩效对提供给住宅客户的PTR计划的影响。为了进行分析，首先介绍了HighXofY（NYISO），指数移动平均值（ISONE），回归方法及其调整形式，然后将其用于计算CBL。爱尔兰能源监管委员会（CER）的智能计量试验数据集用于此分析。此外，介绍了准确性，偏差和总体性能指标（OPI）的指标，然后将其应用于进行误差分析。由于大量不相关的个​​人和家庭活动，与工业客户相反，住宅客户显示出高度的不可预测性。因此，本文还提出了一种利用个人客户消费随机性的方法。另外，有必要检查指标如何在财务上影响DR程序，以便得出关于CBL方法总体性能的有效结论。因此，作为案例研究了针对260个客户的PTR计划。最后提供了此案例研究的结果及其讨论。 （C）2016 Elsevier B.V.保留所有权利。

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