{"title":"基于多影响因素合作博弈的变电站区域线损指标研究","authors":"Linfeng Wu, Xiaowei Yang, Hao Yang, Zhenhui Zhu, Shunli Chen","doi":"10.1145/3609703.3609715","DOIUrl":null,"url":null,"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.","PeriodicalId":101485,"journal":{"name":"Proceedings of the 2023 5th International Conference on Pattern Recognition and Intelligent Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study on the line loss index of a substation area based on cooperative games with multiple influencing factors\",\"authors\":\"Linfeng Wu, Xiaowei Yang, Hao Yang, Zhenhui Zhu, Shunli Chen\",\"doi\":\"10.1145/3609703.3609715\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":101485,\"journal\":{\"name\":\"Proceedings of the 2023 5th International Conference on Pattern Recognition and Intelligent Systems\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 5th International Conference on Pattern Recognition and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3609703.3609715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 5th International Conference on Pattern Recognition and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3609703.3609715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on the line loss index of a substation area based on cooperative games with multiple influencing factors
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.