The Supply-Demand Analysis Method for Power System with Considering the Demand Response and Multiple Scenarios
This paper proposes a mathematic model of time series production simulation, and presents a case study of the Shandong power grid and investigates the role of demand-side resources in ensuring power supply. Based on the supply-demand analysis method and the design of the demand-side resource regulat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/78/e3sconf_celct2023_02003.pdf |
| _version_ | 1797345610787979264 |
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| author | Zhao Xin Xue Wanlei Li Yan |
| author_facet | Zhao Xin Xue Wanlei Li Yan |
| author_sort | Zhao Xin |
| collection | DOAJ |
| description | This paper proposes a mathematic model of time series production simulation, and presents a case study of the Shandong power grid and investigates the role of demand-side resources in ensuring power supply. Based on the supply-demand analysis method and the design of the demand-side resource regulation plan, the demand response of the Shandong power grid can essentially meet the power balance requirements by 2025 under the baseline scenario. Under the extreme scenario, the power deficit can also be addressed by orderly power consumption. It is suggested to pay more attention to the development and utilization of demand-side resources. |
| first_indexed | 2024-03-08T11:20:07Z |
| format | Article |
| id | doaj.art-313eca2b60724825a9e44a8ca1b492c5 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:20:07Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-313eca2b60724825a9e44a8ca1b492c52024-01-26T10:02:11ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014410200310.1051/e3sconf/202344102003e3sconf_celct2023_02003The Supply-Demand Analysis Method for Power System with Considering the Demand Response and Multiple ScenariosZhao Xin0Xue Wanlei1Li Yan2Economic and Technology Research Institute, State Grid Shandong Electric Power Corporation LtdEconomic and Technology Research Institute, State Grid Shandong Electric Power Corporation LtdEconomic and Technology Research Institute, State Grid Shandong Electric Power Corporation LtdThis paper proposes a mathematic model of time series production simulation, and presents a case study of the Shandong power grid and investigates the role of demand-side resources in ensuring power supply. Based on the supply-demand analysis method and the design of the demand-side resource regulation plan, the demand response of the Shandong power grid can essentially meet the power balance requirements by 2025 under the baseline scenario. Under the extreme scenario, the power deficit can also be addressed by orderly power consumption. It is suggested to pay more attention to the development and utilization of demand-side resources.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/78/e3sconf_celct2023_02003.pdf |
| spellingShingle | Zhao Xin Xue Wanlei Li Yan The Supply-Demand Analysis Method for Power System with Considering the Demand Response and Multiple Scenarios E3S Web of Conferences |
| title | The Supply-Demand Analysis Method for Power System with Considering the Demand Response and Multiple Scenarios |
| title_full | The Supply-Demand Analysis Method for Power System with Considering the Demand Response and Multiple Scenarios |
| title_fullStr | The Supply-Demand Analysis Method for Power System with Considering the Demand Response and Multiple Scenarios |
| title_full_unstemmed | The Supply-Demand Analysis Method for Power System with Considering the Demand Response and Multiple Scenarios |
| title_short | The Supply-Demand Analysis Method for Power System with Considering the Demand Response and Multiple Scenarios |
| title_sort | supply demand analysis method for power system with considering the demand response and multiple scenarios |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/78/e3sconf_celct2023_02003.pdf |
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