Abstract
Considering the influence of user equipment voltage tolerance characteristics and sag types on the evaluation results, this paper proposes a voltage sag severity evaluation method for the system side which considers the influence of the voltage tolerance curve and sag type. As such, a quantitative evaluation of the severity of voltage sag events can be achieved. Firstly, the user’s voltage tolerance curve is used to construct the comparison reference value of the energy index, in order to realize the rapid analysis of the severity of the sag event in the normal area and the abnormal area. Secondly, aiming at the problem of insufficient descriptions of the severity difference of sag events in uncertain areas, an improved energy index evaluation model combined with user tolerance characteristics is established through an interval division and interval weight calculation, so as to divide and evaluate the severity of sag events in uncertain areas. Considering the influence of the sag type on the voltage tolerance curve and user equipment, the energy index correction factor is then constructed, and the measurement function is used for an interval evaluation to obtain the ranking result of the voltage sag severity, which is more in line with the actual situation. Finally, the rationality and effectiveness of the proposed method are verified by analyzing 24 voltage sag events at a monitoring node.
Highlights
In recent years, the large-scale integration of renewable energy, based on power electronics and automatic control technology into the grid, has caused many power quality problems
Considering the influence of the user equipment voltage tolerance characteristics and sag types on the evaluation results, this paper proposes a voltage sag severity evaluation method for the system side which considers the influence of the voltage tolerance curve and sag type
From the perspective of the evaluation of the grid system, the user’s comprehensive voltage tolerance curve is constructed, which avoids the problem of difficult access to user-side information, and indirectly reflects the severity of user equipment affected by the sag
Summary
The large-scale integration of renewable energy, based on power electronics and automatic control technology into the grid, has caused many power quality problems. Reference [16] proposes an improved energy index to calculate the severity of the voltage sag under the influence of the voltage tolerance curve of ASD with different sag types, the practicability of user-side evaluation is poor and the influence of non-sensitive equipment on the evaluation results is not considered. Considering the influence of the sag typ index evaluation model is established in order to achieve the classification of the severity user equipment to construct an energy index correction factor, and accordin of sag events. Consider the influence of sag type on voltage tolerance curve and user equipment, construct energy index correction factor.
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