The substation area line loss rate is an essential economic and scientific indicator for power companies. As distributed power grid-connected scale continues to expand, it's crucial to accurately compute the line loss rate in substation areas that include distributed power sources. This paper presents a method for calculating the substation area line loss rate based on PCA and GRNN, taking into account the elementary operational identities and grid integration identities of PV power. The factors affecting line loss in regions with photovoltaic distributed generation are first extracted, followed by dimensionality reduction using PCA. The reduced features are then used as input for training the GRNN, Meanwhile, the error between actual line loss and the training results is analyzed. In the end, the algorithm's effect to identify high line loss areas is tested. The findings indicate that the effect of the GRNN is better, resulting in small calculation errors in line loss rate and high accuracy in identifying high loss areas.
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zhang et al. (2024) studied this question.
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