Abstract
Under the low voltage ride through (LVRT) control strategy, the inverter interfaced distributed generation (IIDG) needs to change the output mode of the inverter according to the voltage of the connected nodes. The short-circuit current is related to the system rated capacity, network short-circuit impedance, and distributed power output. So, based on the deep learning algorithm, a predicting method of the voltage drop is proposed. By predicting the voltage of connected nodes, the output mode of IIDG can be determined based on the LVRT control. Thus, the fault calculation model of IIDG is accurately established. Compared with the three-phase asymmetric Gaussian fault calculation method, the proposed method can achieve fault calculation accurately. Finally, a case study is built to verify the effectiveness of the proposed method. The results indicate that the proposed method can make accurate voltage prediction and improve the computation speed of the fault calculation.
Highlights
Method of Distribution NetworkThe control strategy of inverter interfaced distributed generation (IIDG) has a decisive influence on the characteristics of the fault current, which will become more complicated when considering the low voltage ride through (LVRT) control strategy
The different output modes of IIDG under the LVRT control strategy have different supporting effects on the voltage of connected nodes, especially when the IIDG is connected in high density
In the fault calculation of the distribution network, the output mode of LVRT control needs to be given according to the degree of voltage drop at the connected nodes
Summary
The control strategy of inverter interfaced distributed generation (IIDG) has a decisive influence on the characteristics of the fault current, which will become more complicated when considering the low voltage ride through (LVRT) control strategy. In [17], a more accurate IIDG current estimation model based on the Gauss–Seidel method that considered the control strategy at the moment of fault was established. In [23], a more accurate mathematical equivalent model of IIDG considering IIDG control strategy was established, and the profile characteristics of positive sequence voltage at each point of common coupling were studied On this basis, a real-time fault current contribution estimation algorithm and a new virtual multi terminal current differential protection scheme was proposed. Symmetry 2021, 13, 1086 considering IIDG control strategy was established, and the profile characteristics of posi of 16a tive sequence voltage at each point of common coupling were studied On this basis, real-time fault current contribution estimation algorithm and a new virtual multi terminal current differential protection scheme was proposed.
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