Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation
Abstract Power systems face significant challenges in maintaining power balance because of the stochasticity of sources and loads. This unpredictability makes it difficult to characterize the typical demand for grid power balance regulation, which results in a lack of clear objectives for evaluating...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Generation, Transmission & Distribution |
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| Online Access: | https://doi.org/10.1049/gtd2.13323 |
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| author | Junwei Li Yang Yu Zengqiang Mi Jian Wu |
| author_facet | Junwei Li Yang Yu Zengqiang Mi Jian Wu |
| author_sort | Junwei Li |
| collection | DOAJ |
| description | Abstract Power systems face significant challenges in maintaining power balance because of the stochasticity of sources and loads. This unpredictability makes it difficult to characterize the typical demand for grid power balance regulation, which results in a lack of clear objectives for evaluating the contributions of demand‐side users to power balance. To bridge these gaps, in this paper, a new approach is proposed on the basis of the inherent difficulties in grid power balance regulation. First, a method for portraying the change in power balance regulation demand is presented, which emphasizes the trend characteristics of time‐varying regulation demand through the weighting of trend segments. Second, demand periods and curves are calculated on the basis of a regulation capacity of 5% of the maximum load, and their distribution during the monthly cycle is analysed. Finally, to elucidate the contribution of random samples to typical demand features, a sample weighting method utilizing clustering categories is proposed and a distance‐minimum optimization model is constructed to estimate typical features by leveraging the “group effect” concept. Actual power data from a region in China are selected for verification, confirming that the proposed typical value calculation method is more representative of random sampling situations. Moreover, considering the power grid's time‐varying nature, the evaluation of the contribution of demand‐side users to the power grid is improved. |
| format | Article |
| id | doaj-art-c94b462694a545e8ac2ceb08511b4bbc |
| institution | Kabale University |
| issn | 1751-8687 1751-8695 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj-art-c94b462694a545e8ac2ceb08511b4bbc2024-12-10T10:18:41ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-12-0118233945395810.1049/gtd2.13323Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulationJunwei Li0Yang Yu1Zengqiang Mi2Jian Wu3Department of Electrical Engineering North China Electric Power University Baoding ChinaDepartment of Electrical Engineering North China Electric Power University Baoding ChinaDepartment of Electrical Engineering North China Electric Power University Baoding ChinaDepartment of Electrical Engineering North China Electric Power University Baoding ChinaAbstract Power systems face significant challenges in maintaining power balance because of the stochasticity of sources and loads. This unpredictability makes it difficult to characterize the typical demand for grid power balance regulation, which results in a lack of clear objectives for evaluating the contributions of demand‐side users to power balance. To bridge these gaps, in this paper, a new approach is proposed on the basis of the inherent difficulties in grid power balance regulation. First, a method for portraying the change in power balance regulation demand is presented, which emphasizes the trend characteristics of time‐varying regulation demand through the weighting of trend segments. Second, demand periods and curves are calculated on the basis of a regulation capacity of 5% of the maximum load, and their distribution during the monthly cycle is analysed. Finally, to elucidate the contribution of random samples to typical demand features, a sample weighting method utilizing clustering categories is proposed and a distance‐minimum optimization model is constructed to estimate typical features by leveraging the “group effect” concept. Actual power data from a region in China are selected for verification, confirming that the proposed typical value calculation method is more representative of random sampling situations. Moreover, considering the power grid's time‐varying nature, the evaluation of the contribution of demand‐side users to the power grid is improved.https://doi.org/10.1049/gtd2.13323data miningdemand side managementload managementload regulationpower system planningsupply and demand |
| spellingShingle | Junwei Li Yang Yu Zengqiang Mi Jian Wu Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation IET Generation, Transmission & Distribution data mining demand side management load management load regulation power system planning supply and demand |
| title | Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation |
| title_full | Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation |
| title_fullStr | Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation |
| title_full_unstemmed | Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation |
| title_short | Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation |
| title_sort | typical characteristic mining and load evaluation for the difficulties of power supply demand balance regulation |
| topic | data mining demand side management load management load regulation power system planning supply and demand |
| url | https://doi.org/10.1049/gtd2.13323 |
| work_keys_str_mv | AT junweili typicalcharacteristicminingandloadevaluationforthedifficultiesofpowersupplydemandbalanceregulation AT yangyu typicalcharacteristicminingandloadevaluationforthedifficultiesofpowersupplydemandbalanceregulation AT zengqiangmi typicalcharacteristicminingandloadevaluationforthedifficultiesofpowersupplydemandbalanceregulation AT jianwu typicalcharacteristicminingandloadevaluationforthedifficultiesofpowersupplydemandbalanceregulation |