Construction of a feature vector-based prediction model for locating line losses in power grids

Yanhong Ma; Yumeng Zhao

doi:10.1117/12.2680434

31 May 2023 Construction of a feature vector-based prediction model for locating line losses in power grids

Yanhong Ma, Yumeng Zhao

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127041B (2023) https://doi.org/10.1117/12.2680434
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

At present, the conventional line loss location prediction method mainly adopts the way of stratified location analysis to realize the line loss prediction by calculating the line loss value in layers, but there is a problem of low prediction accuracy. In this regard, a feature vector-based prediction model is proposed. The similarity of line loss sections of distribution networks is calculated, and the actual situation of theoretical line loss and communication line loss is discussed by situation to construct the line loss prediction model. The experimental results show that the output of the proposed prediction model has a low root-mean-square error and has a more desirable prediction effect.

Citation Download Citation

Yanhong Ma and Yumeng Zhao "Construction of a feature vector-based prediction model for locating line losses in power grids", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127041B (31 May 2023); https://doi.org/10.1117/12.2680434

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