2018
DOI: 10.1109/tpwrs.2017.2738320
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Nonlinear Structure-Preserving Network Reduction Using Holomorphic Embedding

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Cited by 22 publications
(10 citation statements)
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“…(15) and Eq. (16). The solution process clearly indicates that these two partial derivatives are independent of power flow condition of a distribution power network.…”
Section: B Calculation Of Voltage Sensitivity Wrt Power Injectionmentioning
confidence: 85%
“…(15) and Eq. (16). The solution process clearly indicates that these two partial derivatives are independent of power flow condition of a distribution power network.…”
Section: B Calculation Of Voltage Sensitivity Wrt Power Injectionmentioning
confidence: 85%
“…From the analytic point of view, the holomorphic embedding (HE) load-flow method provides a novel non-iterative tool and alternative solution for power flow problems [19]. Since its introduction to the power system community in 2012 [19], HE methods have been extended to a wide range of applications in power systems [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] over the past few years, including device and network modelling [20][21][22][23][24], voltage stability analysis and control [25][26][27][28][29], power-flow solution identification [30,31], enforcement of control limits [32], unit commitment [33], dynamic simulation [34] and optimal energy flow [35]. In addition, based on its constructive nature, improvements have been made to HE for enhanced computational efficiency [36][37][38].…”
Section: Introductionmentioning
confidence: 99%
“…The semi-analytical approach such as the holomorphic embedding method is a novel technique for solving power flow problems, helping us better calculate the power flow distribution in the network. When applied to the power-flow control, the holomorphic embedding method can significantly improve the calculation accuracy of power flow and loading limit of each branch [8], [9]. The holomorphic embedding load-flow method (HELM) has been used in flexible AC transmission system (FACTS) devices modeling.…”
Section: Introductionmentioning
confidence: 99%