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Iterative harmonic load flow by using the point-estimate method and complex affine arithmetic for radial distribution systems with photovoltaic uncertainties

机译:基于点估计法和复仿射算法的具有光伏不确定性的径向分布系统的迭代谐波潮流

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摘要

Load and generation variations and the random nature of harmonics in non-linear devices (NLDs) are the source of multiple uncertainties that can be handled in harmonic load flows (HLFs) by probabilistic or interval formulations. The paper presents a new combined analytical technique (CAT) for iterative HLFs in the presence of correlated input uncertainties from photovoltaic (PV) systems in radial distribution systems (RDSs). This technique merges the point-estimate method (PEM), a probabilistic formulation, and complex affine arithmetic (AA), an interval formulation. It then uses the information derived in Legendre series approximation (LGSA) to approximate harmonic voltage distributions. Unlike other methods, this CAT includes iterative harmonic penetration (IHP), which provides a way to deal with the interaction of background harmonic voltage on PV harmonic current. The CAT was examined in a real ENDE 100 RDS system. Thanks to PEM and AA, the CAT significantly reduced the computational burden, an evident improvement over the Monte-Carlo simulation (MCS). Furthermore, the simulation results showed that it accurately reconstructed the harmonic voltage distributions (magnitude and phase angle). The iterative approach also underlines the relevance of background harmonic interaction. The CAT outperformed the incomplete CAT (ICAT), which was based solely on a probabilistic HLF formulation.
机译:非线性设备(NLD)中负载和发电量的变化以及谐波的随机性是多重不确定性的根源,可以通过概率或区间公式在谐波潮流(HLF)中进行处理。本文介绍了在径向分布系统(RDSs)中存在光伏(PV)系统相关输入不确定性的情况下,迭代HLF的新组合分析技术(CAT)。该技术合并了概率估计的点估计方法(PEM)和区间表示的复杂仿射算法(AA)。然后,它使用Legendre级数逼近(LGSA)中得出的信息来估算谐波电压分布。与其他方法不同,此CAT包含迭代谐波穿透(IHP),它提供了一种方法来处理背景谐波电压与PV谐波电流之间的相互作用。在实际的ENDE 100 RDS系统中检查了CAT。多亏了PEM和AA,CAT大大减少了计算负担,这是对Monte-Carlo仿真(MCS)的明显改进。此外,仿真结果表明,它可以准确地重构谐波电压分布(幅度和相角)。迭代方法还强调了背景谐波相互作用的相关性。 CAT的性能优于不完全CAT(ICAT),后者仅基于概率HLF公式。

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