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Real-time estimation of AC-grid short circuit capacity for HVDC control application

机译:用于HVDC控制应用的AC电网短路容量的实时估计

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摘要

Being able to estimate the AC grid strength using short circuit capacity (SCC) from the perspective of a connected high-voltage direct current (HVDC) station allows adjustment of converter control parameters or to select the converter's operational control mode. The SCC can be calculated by estimation of the grid's impedance and its equivalent voltage. This study presents the operational and practical challenges in real-time implementation of the grid estimation algorithms especially for HVDC applications. This study shows that the recursive least-square algorithm can be very efficiently used for the real-time estimation of SCC. This technique forms a regression problem using algebraic complex equations with an objective to minimise the error between estimated and measured parameters. The algorithm has been reformulated and simplified to make it non-complex without the use of matrices, in order to facilitate further implementation on an industrial real-time controller. The performance of the real-time implementation has been evaluated using a hardware-in-the-loop platform. A sensitivity analysis has been also carried out to study the impact of different parameters and operational conditions on the performance of the estimation algorithm. Finally, the actual application of real-time SCC estimation for the HVDC systems has been demonstrated.
机译:从连接的高压直流(HVDC)站的角度来看,能够使用短路容量(SCC)估算交流电网强度,从而可以调节转换器控制参数或选择转换器的运行控制模式。可以通过估算电网的阻抗及其等效电压来计算SCC。这项研究提出了网格估计算法实时实施中的操作和实际挑战,特别是对于HVDC应用。这项研究表明,递归最小二乘算法可以非常有效地用于SCC的实时估计。该技术使用代数复数方程形成了一个回归问题,其目的是最大程度地减少估计和测量参数之间的误差。对算法进行了重新构造和简化,使其在不使用矩阵的情况下变得不复杂,以便于在工业实时控制器上进一步实现。实时实现的性能已使用硬件在环平台进行了评估。还进行了敏感性分析,以研究不同参数和操作条件对估计算法性能的影响。最后,演示了实时SCC估计在HVDC系统中的实际应用。

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