Research on Improvement Calculation Method of Grid Power Losses Based on New Energy Access Model
This research presents an improved calculation method for grid power losses, particularly focusing on the challenges posed by new energy access models. With the integration of electric vehicles and the rise of data centers, the demand for electrical energy has surged, leading to increased strain on...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2024-03-01
|
| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/ew/article/view/5487 |
| _version_ | 1797248460762644480 |
|---|---|
| author | Jun Zhang Huakun QUE Xiashan Feng Xiaofeng Feng Xiling Tang |
| author_facet | Jun Zhang Huakun QUE Xiashan Feng Xiaofeng Feng Xiling Tang |
| author_sort | Jun Zhang |
| collection | DOAJ |
| description |
This research presents an improved calculation method for grid power losses, particularly focusing on the challenges posed by new energy access models. With the integration of electric vehicles and the rise of data centers, the demand for electrical energy has surged, leading to increased strain on grid stations and subsequent power losses. The proposed model aimed at reducing these power losses, while also examining existing systems to mitigate and analyze such issues. A significant contribution of this work is the application of the Random Forest machine learning algorithm, which enables efficient and accurate power flow calculations essential for optimizing grid performance. The proposed method is expected to enhance the grid’s ability to handle future energy demands and contribute to the sustainable development of electrical energy systems.
|
| first_indexed | 2024-04-24T20:14:57Z |
| format | Article |
| id | doaj.art-1ed57807adb04cf7a1c323a12421dc3c |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-04-24T20:14:57Z |
| publishDate | 2024-03-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-1ed57807adb04cf7a1c323a12421dc3c2024-03-22T18:59:57ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2024-03-011110.4108/ew.5487Research on Improvement Calculation Method of Grid Power Losses Based on New Energy Access ModelJun Zhang0Huakun QUE1Xiashan Feng2Xiaofeng Feng3Xiling Tang4Metrology Center of Guangdong Power Grid Corporation, Guangdong Power Grid New Energy Application Research and Development Technology Park, No. 9 Meilinhu Road, Shijiao Town, Qingcheng District, Qingyuan City, Guangdong Province, 511545, ChinaMetrology Center of Guangdong Power Grid Corporation, Guangdong Power Grid New Energy Application Research and Development Technology Park, No. 9 Meilinhu Road, Shijiao Town, Qingcheng District, Qingyuan City, Guangdong Province, 511545, ChinaZhanjiang Power Supply Bureau of Guangdong Power Grid Co., Ltd, Power Supply Service Center, No. 37 South Haibin Avenue, Xiashan District, Zhanjiang City, Guangdong Province, 524100; ChinaMetrology Center of Guangdong Power Grid Corporation, Guangdong Power Grid New Energy Application Research and Development Technology Park, No. 9 Meilinhu Road, Shijiao Town, Qingcheng District, Qingyuan City, Guangdong Province, 511545, ChinaMetrology Center of Guangdong Power Grid Corporation, Guangdong Power Grid New Energy Application Research and Development Technology Park, No. 9 Meilinhu Road, Shijiao Town, Qingcheng District, Qingyuan City, Guangdong Province, 511545, China This research presents an improved calculation method for grid power losses, particularly focusing on the challenges posed by new energy access models. With the integration of electric vehicles and the rise of data centers, the demand for electrical energy has surged, leading to increased strain on grid stations and subsequent power losses. The proposed model aimed at reducing these power losses, while also examining existing systems to mitigate and analyze such issues. A significant contribution of this work is the application of the Random Forest machine learning algorithm, which enables efficient and accurate power flow calculations essential for optimizing grid performance. The proposed method is expected to enhance the grid’s ability to handle future energy demands and contribute to the sustainable development of electrical energy systems. https://publications.eai.eu/index.php/ew/article/view/5487distribution gridrandom forestAMDsoptimizaion modelpower flow |
| spellingShingle | Jun Zhang Huakun QUE Xiashan Feng Xiaofeng Feng Xiling Tang Research on Improvement Calculation Method of Grid Power Losses Based on New Energy Access Model EAI Endorsed Transactions on Energy Web distribution grid random forest AMDs optimizaion model power flow |
| title | Research on Improvement Calculation Method of Grid Power Losses Based on New Energy Access Model |
| title_full | Research on Improvement Calculation Method of Grid Power Losses Based on New Energy Access Model |
| title_fullStr | Research on Improvement Calculation Method of Grid Power Losses Based on New Energy Access Model |
| title_full_unstemmed | Research on Improvement Calculation Method of Grid Power Losses Based on New Energy Access Model |
| title_short | Research on Improvement Calculation Method of Grid Power Losses Based on New Energy Access Model |
| title_sort | research on improvement calculation method of grid power losses based on new energy access model |
| topic | distribution grid random forest AMDs optimizaion model power flow |
| url | https://publications.eai.eu/index.php/ew/article/view/5487 |
| work_keys_str_mv | AT junzhang researchonimprovementcalculationmethodofgridpowerlossesbasedonnewenergyaccessmodel AT huakunque researchonimprovementcalculationmethodofgridpowerlossesbasedonnewenergyaccessmodel AT xiashanfeng researchonimprovementcalculationmethodofgridpowerlossesbasedonnewenergyaccessmodel AT xiaofengfeng researchonimprovementcalculationmethodofgridpowerlossesbasedonnewenergyaccessmodel AT xilingtang researchonimprovementcalculationmethodofgridpowerlossesbasedonnewenergyaccessmodel |