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Probabilistic framework for evaluating droop control of photovoltaic inverters

机译：评估光伏逆变器下垂控制的概率框架

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摘要

Active Power/Voltage (P/V) droop control is a method that is implemented in distributed photovoltaic (PV) units for the mitigation of overvoltage problems. This control does not require inter-unit communication and its benefit with respect to the on-off oscillations, the voltage level and the captured PV energy has already been demonstrated in previous studies. However, previous studies of P/V droop controllers only involved a deterministic "worst-case" approach on small networks and for restricted time periods, which often lead to oversized and costly technical solutions. In this paper, P/V droop control is for the first time evaluated with a probabilistic framework based on smart metering (SM) recordings in an existing Low Voltage (LV) network. Thanks to this approach, the uncertainty of PV energy injection, the randomness of the consumption loads and the fluctuations of voltage at the MV/LV transformer can be taken into consideration in the evaluation of the benefits related to the proposed control. The first objective of this paper is therefore to evaluate droop control in a model that is more faithful to the real operation of a LV network. Within this evaluation, the paper aims at doing a realistic parameter tuning of the control based on detailed probabilistic analysis. Practically, the evaluation model is based on a probabilistic framework previously developed by the authors but which up to now did not consider any voltage based droop (VBD) control. Thus, the second objective of this paper is to present a way for including time-based control strategies (here explained by means of droop control) in the probabilistic framework. The newly developed model is used to simulate an existing LV network and the results (EN50160 voltage requirements, curtailed PV generation, etc.) are compared to the scenario in which P/V droop control is not applied. (C) 2015 Elsevier B.V. All rights reserved.
机译：有功功率/电压（P / V）下垂控制是一种在分布式光伏（PV）单元中实施的方法，用于缓解过压问题。这种控制不需要单元间的通信，并且它在开关振荡，电压水平和捕获的PV能量方面的优势已经在先前的研究中得到证明。但是，先前对P / V下垂控制器的研究仅涉及确定性的“最坏情况”方法，该方法在小型网络上并在有限的时间段内使用，这常常导致尺寸过大且成本高昂的技术解决方案。在本文中，首次使用基于现有低压（LV）网络中智能计量（SM）记录的概率框架评估了P / V下垂控制。由于采用了这种方法，在评估与所建议的控制有关的益处时，可以考虑光伏能量注入的不确定性，消耗负载的随机性以及中压/低压变压器处的电压波动。因此，本文的第一个目标是在更忠实于LV网络实际运行的模型中评估下垂控制。在此评估范围内，本文旨在基于详细的概率分析对控制进行实际的参数调整。实际上，该评估模型基于作者先前开发的概率框架，但到目前为止尚未考虑任何基于电压的下垂（VBD）控制。因此，本文的第二个目标是提出一种在概率框架中包括基于时间的控制策略（此处通过下垂控制进行说明）的方法。新开发的模型用于模拟现有的低压网络，并将结果（EN50160的电压要求，减少的PV产生等）与未应用P / V下垂控制的情况进行了比较。 （C）2015 Elsevier B.V.保留所有权利。

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