A data-driven linearization approach to analyze the three-phase unbalance in active distribution systems,
A data-driven linearization approach to analyze the three-phase unbalance in active distribution systems,
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DOI：
10.1016/j.epsr.2022.108573
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发表时间：
2022-10
影响因子：
3.9
通讯作者：
Jiaqi Chen;Line A. Roald
中科院分区：
文献类型：
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作者：
Jiaqi Chen;Line A. Roald
由于各相间能量资源分布不均，有源配电网(ADN)可能会经历高度的三相不平衡。准确的分析工具在解决三相不平衡造成的问题方面发挥着至关重要的作用。为了解决ADN中三相不平衡评估和缓解中存在的计算难题，提出了三相电压不平衡指标(VUF、LVU和PVUR)的直接和间接线性逼近模型，这些模型是通过基于支持向量回归(SVR)的三相电压不平衡指标线性化方法获得的。将线性化的三相电压不平衡指标引入到具有电压不平衡约束的改进优化调度问题中。得到的优化问题是一个计算复杂度低、精度高的凸二次规划问题。数值分析表明，该方法达到了令人满意的精度，表明该方法可用于ADNS中的三相不平衡分析。
Due to unevenly distributed energy resources between phases, it is expected that active distribution networks (ADNs) may experience a high degree of three-phase unbalance. Accurate analysis tools play an essential role in addressing the issues caused by the three-phase unbalance. To address existing computational challenges in the assessment and mitigation of three-phase unbalance in ADNs, we propose adirectand anindirectlinear approximation models of three-phase voltage unbalance metrics (VUF, LVURandPVUR), which are obtained using a support vector regression (SVR)-based three-phase voltage unbalance metric linearization approach. The linearized three-phase voltage unbalance metrics are incorporated in an improved optimal dispatch problem with voltage unbalance constraints. The resulting optimization problem is a convex quadratic program with low computational complexity and high accuracy. Numerical analyses demonstrate that the proposed approach achieves satisfactory accuracy, which indicates its promise for inclusion in three-phase unbalance analysis in ADNs.