The method of calculating the line loss ratio of distributed grid-connected station area by using PCA-GRNN

Penghe Zhang; Yining Yang; Chunpeng Wang; Runan Song; Cong Wang

doi:10.1117/12.3024730

13 May 2024 The method of calculating the line loss ratio of distributed grid-connected station area by using PCA-GRNN

Penghe Zhang, Yining Yang, Chunpeng Wang, Runan Song, Cong Wang

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315939 (2024) https://doi.org/10.1117/12.3024730
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Penghe Zhang, Yining Yang, Chunpeng Wang, Runan Song, and Cong Wang "The method of calculating the line loss ratio of distributed grid-connected station area by using PCA-GRNN", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315939 (13 May 2024); https://doi.org/10.1117/12.3024730

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