Probabilistic Estimation of Voltage Unbalance in MV Distribution Networks With Unbalanced Load
Probabilistic Estimation of Voltage Unbalance in MV Distribution Networks With Unbalanced Load
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DOI：
10.1109/tpwrd.2014.2322391
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发表时间：
2015-04
影响因子：
4.4
通讯作者：
Z. Liu;J. Milanović
中科院分区：
文献类型：
--
作者：
Z. Liu;J. Milanović
电压不平衡会导致电力系统设备和用户设备过热、效率降低、寿命缩短，从而对配电网运营商和用户产生负面影响。导致额外系统损耗的配电网络整体不平衡是由每个单独的不平衡来源造成的。本文首先分析了引起电压不平衡的主要原因--负荷不对称引起的不平衡的传播，然后提出了一种概率估计电网不平衡的方法。通过考虑日负荷曲线、正态分布负荷和采用三相牛顿-拉夫森潮流，蒙特卡罗仿真给出了特定母线电压不平衡的可能范围。该分析使配电网运营商能够从历史监测数据或在没有完整监测数据时的概率估计中得出网络中的不平衡程度。最后，在英国实际配电网的一段上对该方法进行了验证，并将评估结果与实际监测数据进行了比较。
Voltage unbalance negatively affects distribution network operators and customers by introducing overheating, reduced efficiency, and reduced lifetime of power system equipment and customer devices. The overall unbalance in the distribution network that leads to additional system losses is contributed to by every individual source of unbalance. This paper first analyzes the propagation of unbalance originating from the main cause of voltage unbalance-asymmetrical loading and then develops a methodology for probabilistic estimation of unbalance in the network. By considering daily loading curves, normally distributed load and employing three-phase full Newton-Raphson load flow, the Monte Carlo simulations give the possible ranges of levels of voltage unbalance for specified buses. The analysis enables distribution network operators to derive the level of unbalance in the network from either historical monitoring data or probabilistic estimation when full monitoring data are not available. Finally, the methodology is validated on a section of the real U.K. distribution network and the results of assessment compared with actual monitoring data.