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Reliable power flow and short circuit analysis of systems with uncertain data

机译:具有不确定数据的系统可靠的电流和短路分析

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This paper addresses the problem of uncertainties in the input parameters by specifying them as compact intervals, taking into consideration the errors in modelling and measurement of transmission line parameters and also the continuous influence of load measurement errors and fluctuations in the load demand. The power flow equations are modelled as a set of nonlinear algebraic equations which are first linearised using Taylor series expansion and the solution is obtained by the Krawczyk's method of interval arithmetic. For the short circuit analysis the prefault conditions are obtained from power flow analysis and the faulty network is then solved using Thevenin's equivalent network as seen from the fault point. The proposed method is applied to 3 bus, 14 bus and 30 bus IEEE test systems where load currents and fault currents for each relay are obtained in bounded form and thus well-defined relay coordination pairs are available.
机译:本文通过将其指定为紧凑的间隔来解决输入参数中的不确定性问题,考虑到输电线路参数的建模和测量,以及负载测量误差和负载需求波动的持续影响。 功率流程方程被建模为一组非线性代数方程,首先使用泰勒序列膨胀线性化,并通过Krawczyk的间隔算法获得解决方案。 对于短路分析,使用从故障点看到的等效网络,从功率流分析中获得预先预先通过,并且通过从故障点看到的等效网络来解决故障网络。 所提出的方法应用于3总线,14总线和30总线IEEE测试系统,其中在有界形式中获得每个继电器的负载电流和故障电流,因此可获得明确定义的中继协调成对。

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