Probabilistic Voltage Sensitivity based Preemptive Voltage Monitoring in Unbalanced Distribution Networks
Probabilistic Voltage Sensitivity based Preemptive Voltage Monitoring in Unbalanced Distribution Networks
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不平衡配电网中基于概率电压灵敏度的先发式电压监测
DOI：
10.1109/naps50074.2021.9449792
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Natarajan, Balasubramaniam
中科院分区：
文献类型：
--
作者：
Abujubbeh, Mohammad;Munikoti, Sai;Natarajan, Balasubramaniam
随着可再生能源的普及和消费者的活跃，配电网络的控制和管理变得具有挑战性。可再生能源可能会导致随机电压波动，因为其输出功率取决于天气条件。抽头变换器和电容器组等传统电压控制方案缺乏快速缓解电压违规所需的远见。因此，迫切需要有效的方法来预测和减轻由于功率注入的随机波动而导致的电压违规。这项工作提出了一种基于低复杂性、数据驱动的概率电压灵敏度分析的新型电压监测方法。这项工作的用处不仅在于预测不平衡配电网中的电压违规，而且还在于为最佳电压控制打开了大门。使用系统数据和预测，所提出的方法预测系统节点电压的分布，然后用于识别可能高概率违反标称操作限制的节点。该方法在考虑集成分布式太阳能源的IEEE 37节点分布式系统上进行了测试。该方法针对基于经典潮流的方法进行了验证，并且在预测电压违规方面提供了超过 95% 的准确度。
With increasing penetration of renewable energy and active consumers, control and management of power distribution networks has become challenging. Renewable energy sources can cause random voltage fluctuations as their output power depends on weather conditions. Conventional voltage control schemes such as tap changers and capacitor banks lack the foresight required to quickly alleviate voltage violations. Thus, there is an urgent need for effective approaches for predicting and mitigating voltage violations as a result of random fluctuations in power injections. This work proposes a novel voltage monitoring approach based on low-complexity, data-driven probabilistic voltage sensitivity analysis. The usefulness of this work is not only in predicting voltage violations in unbalanced distribution grids, but also in opening up the door for optimal voltage control. Using system data and forecasts, the proposed approach predicts the distribution of system node voltages which is then used to to identify nodes that may violate the nominal operational limits with high probability. The method is tested on the IEEE 37 node distribution system considering integrated distributed solar energy sources. The method is validated against the classic load flow based method and offers over 95% accuracy in predicting voltage violations.
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