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Impact of Smart Metering Data Aggregation on Distribution System State Estimation

机译：智能电表数据聚合对配电系统状态估计的影响

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Pseudo medium/low voltage (MV/LV) transformer loads are usually used as partial inputs to the distribution system state estimation (DSSE) in MV systems. Such pseudo load can be represented by the aggregation of smart metering (SM) data. This follows the government restriction that distribution network operators (DNOs) can only use aggregated SM data. Therefore, we assess the subsequent performance of the DSSE, which shows the impact of this restriction - it affects the voltage angle estimation significantly. The possibilities for improving the DSSE accuracy under this restriction are further studied. First, two strategies that can potentially relax this restriction's impact are studied. First, the correlations among pseudo loads' errors are taken into account in the DSSE process and a power loss estimation method is proposed. Second, the investments (i.e., either adding measurement devices or increasing the original devices' accuracy) for the satisfactory DSSE results are assessed. All these are for addressing DNOs' concerns on this restriction.
机译：伪中/低压（MV / LV）变压器负载通常用作MV系统中配电系统状态估计（DSSE）的部分输入。这种伪负载可以通过智能计量（SM）数据的聚合来表示。这遵循政府的限制，即配电网络运营商（DNO）只能使用聚合的SM数据。因此，我们评估了DSSE的后续性能，这表明了该限制的影响-它会显着影响电压角估计。进一步研究了在这种限制下提高DSSE准确性的可能性。首先，研究了两种可能放松此限制影响的策略。首先，在DSSE过程中考虑了伪负载误差之间的相关性，并提出了一种功率损耗估计方法。其次，评估获得令人满意的DSSE结果的投资（即添加测量设备或提高原始设备的准确性）。所有这些都是为了解决DNO对此限制的担忧。

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