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A study on the line loss index of a substation area based on cooperative games with multiple influencing factors

Published: 16 August 2023 Publication History

Abstract

The line loss rate varies significantly among different substation areas due to diverse influencing factors. Consequently, a study is conducted to investigate the line loss index of a substation area by employing a cooperative game approach that considers multiple influencing factors. Firstly, utilizing the available fundamental data of the substation area, construct a substation area factor suitable for the calculation of "one substation area, one index". Subsequently, an initial low-voltage substation area line loss prediction model was constructed using Bi-LSTM. Finally, the weights of each influencing factor are calculated using a cooperative game strategy, and the attention mechanism is applied to Bi-LSTM. After the model is trained and optimized, the predicted value for the line loss index for each substation area is output. Experiments indicate that the algorithm can effectively enhances the accuracy of predicting the line loss index value in the substation area, and assist in customized and refined management of loss reduction in the low-voltage distribution substation area.

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            PRIS '23: Proceedings of the 2023 5th International Conference on Pattern Recognition and Intelligent Systems
            July 2023
            123 pages
            ISBN:9781450399968
            DOI:10.1145/3609703
            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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            Published: 16 August 2023

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            Author Tags

            1. Attention mechanism
            2. Bi-LSTM
            3. Characteristic indicator factor
            4. Cooperative game
            5. Line loss rate

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