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On the Solution of the Optimal Power Flow for Three-Phase Radial Distribution Networks With Energy Storage

机译:在能量存储空间三相径向分布网络的最佳功率流解

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We study a multiperiod optimal power flow (OPF) problem in unbalanced three-phase radial distribution networks with batteries. To address this problem, we first take the resistance-line battery model that treats lossy batteries by adding resistive lines and virtual buses. Then, we derive a linearization for the power flow equations, called generalized three-phase simplified DistFlow, which accounts for shunt elements. Also, it is exact at a freely chosen point while having globally good performance. Using it, we extend the heuristic iterative OPF algorithm, CoDistFlow, to unbalanced three-phase networks. At convergence, three-phase CoDistFlow gives a solution that satisfies the exact nonlinear power-flow equations and the exact security constraints. To theoretically guarantee the convergence of three-phase CoDistFlow, we develop the forced convergent three-phase CoDistFlow. Moreover, we show how to adapt the three-phase CoDistFlow to solve a scenario-based OPF in the presence of uncertainties, whereas other existing OPF solution methods may not offer this possibility. Finally, we perform evaluations on the IEEE 123-bus test feeder and comparisons with Ipopt.
机译:我们使用电池研究不平衡三相径向分布网络中的多极最佳功率流(OPF)问题。为了解决这个问题,我们首先通过添加电阻线和虚拟公共汽车来拍摄电阻线电池模型。然后,我们推导出电流方程的线性化,称为广义三相简化的distflow,其用于分流元件。此外,它确实在一个自由选择的点,同时具有全局良好的性能。使用它,我们将启发式迭代opf算法,译码流算法扩展到不平衡的三相网络。在收敛处,三相译码流出给出了满足精确的非线性动力流程方程和确切安全约束的解决方案。为了理论上保证三相译码流的融合,我们开发了强制收敛的三相译本流。此外,我们展示了如何在存在不确定性的情况下调整三相鳕鱼流以解决基于方案的OPF,而其他现有的OPF解决方案方法可能无法提供这种可能性。最后,我们对IEEE 123总线测试馈线的评估进行了评估,并使用iPopt进行比较。

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