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Unbalanced Source Detection in Power Distribution Networks by Negative Sequence Apparent Powers
IEEE Transactions on Power Delivery ( IF 3.8 ) Pub Date : 2020-10-07 , DOI: 10.1109/tpwrd.2020.3029437
Amin Dadashzade , Farrokh Aminifar , Mahdi Davarpanah

Distribution network unbalanced operation is among crucial power quality concerns. Detecting the unbalance sources and their contribution to the network total unbalance with high precision is a prerequisite to alleviate this challenge. To do so, this letter proposes a new method based on load and branch negative sequence apparent power vectors. The inner product decomposition algorithm is employed to specify the contribution of each downstream unbalanced load on a given branch or node unbalance index. Accordingly, the unbalanced loads compensating for the others can also be discriminated. Referring to simulations, the proposed method outperforms the existing techniques in terms of efficiency and accuracy.

中文翻译:

负序视在功率在配电网中的不平衡源检测

配电网络的不平衡运行是至关重要的电能质量问题之一。高精度检测不平衡源及其对网络总不平衡的贡献是缓解这一挑战的前提。为此,这封信提出了一种基于负载和分支负序视在功率矢量的新方法。内积分解算法用于指定每个下游不平衡负载对给定分支或节点不平衡指数的贡献。因此,也可以区分补偿其他负载的不平衡负载。参照仿真,所提出的方法在效率和准确性方面优于现有技术。
更新日期:2020-10-07
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