Automatic Power System Restoration With Inrush Current Estimation for Industrial Facility

Papasani, Anusha; Zia, Kaynat; Lee, Wei-Jen

doi:10.1109/tia.2021.3117486

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…This simplifying assumption is necessary since the requirement of separate measurements of active and reactive power would further limit the number of available measurements. Furthermore, inrush currents are neglected since this phenomenon, despite also occurring on reconnection of feeders, happens at a much faster time scale [10,18].…”

Section: Cold Load Pickup Modelsmentioning

confidence: 99%

“…The latter are assumed to gradually return to their original value via a linear increase after resupply. The same is assumed for industrial processes with a predefined starting sequence [10]. The decrease after the initial overshoot is also sometimes approximated in a linear manner [16].…”

Section: Other Modelsmentioning

confidence: 99%

“…This behaviour needs to be considered in order to assess frequency as well as voltage stability during restoration [5][6][7][8][9][10]. In order to improve the fidelity of time domain simulations in this field, we present an investigation of measurements recorded after 31 actual reconnection events with corresponding outage durations of up to 5.9 h, their fit to simplified models and the adequacy of these models for simulation studies.…”

Section: Introductionmentioning

confidence: 99%

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Cold Load Pickup Model Adequacy for Power System Restoration Studies

2022

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When a grid section is re-energized after an interruption, the load behaviour can be significantly different from normal operation. In this manuscript, the impact of the phenomenon—known as cold load pickup—is investigated by evaluating 31 time series measured after network outages in Austria and Germany. Its impact on power system restoration and the adequacy of the most common type of simplified model for such investigations is assessed by the time domain simulation of a restoration setting involving the parallel operation of conventional and renewable generation. Parameter distributions are provided for the exponential decay and the delayed exponential decay model with the aim of facilitating meaningful consideration of the phenomenon in time domain simulations of power system restoration. The benefits and limitations of these models are assessed by comparison of time domain simulation results using either the normalized raw data, an exponential decay model or a step-wise active power chance to reflect load behaviour. It is shown that using an exponential decay model leads to higher fidelity of simulation results with respect to the resulting steady-state active power sharing among generators than just applying a step-wise power change in the simulation.

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Section: Cold Load Pickup Modelsmentioning

confidence: 99%

Section: Other Modelsmentioning

confidence: 99%