A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia
Abstract With the integration of wind, electricity and heat, the combined heat and power system has the characteristic of multi‐time scales, in which the wind power has high uncertainty, the thermal system is difficult to synchronize with the power system for the large inertia and delay. Therefore,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
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| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12743 |
| _version_ | 1797817292307824640 |
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| author | Xiaojing Wang Li Han Mengjie Li Panpan Lu |
| author_facet | Xiaojing Wang Li Han Mengjie Li Panpan Lu |
| author_sort | Xiaojing Wang |
| collection | DOAJ |
| description | Abstract With the integration of wind, electricity and heat, the combined heat and power system has the characteristic of multi‐time scales, in which the wind power has high uncertainty, the thermal system is difficult to synchronize with the power system for the large inertia and delay. Therefore, the fixed time‐scale dispatching is unable to guarantee the reliability of the system. Given the above problems, this paper proposes a time‐scale adaptive dispatching strategy of the combined heat and power system considering thermal inertia. This strategy analyzes the time characteristics of wind power forecasting error and the thermal inertia, while later establishing time‐scale adaptive dispatching sub‐main model of combined heat and power system. Specifically, in the time‐scale adaptive method, the system available reserve model is improved due to the power support of the thermal inertia. Based on the existing fixed time‐scale dispatching, this method dynamically adjusts the steps of forecasting and the time‐scales of dispatching when the system available reserve is inadequate to compensate for the wind power forecasting error. Taking the 4‐h fixed time‐scale dispatching as an example, the simulation results suggest that the proposed strategy achieves the dynamic dispatching of the combined heat and power system, while improving its reliability and stability. |
| first_indexed | 2024-03-13T08:50:54Z |
| format | Article |
| id | doaj.art-7d1c1bae133a47d39d045c0c97cd4dce |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-03-13T08:50:54Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-7d1c1bae133a47d39d045c0c97cd4dce2023-05-29T12:03:59ZengWileyIET Renewable Power Generation1752-14161752-14242023-06-011781966197710.1049/rpg2.12743A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertiaXiaojing Wang0Li Han1Mengjie Li2Panpan Lu3School of Electrical Engineering China University of Mining and Technology Xuzhou Jiangsu ChinaSchool of Electrical Engineering China University of Mining and Technology Xuzhou Jiangsu ChinaSchool of Electrical Engineering China University of Mining and Technology Xuzhou Jiangsu ChinaSchool of Electrical Engineering China University of Mining and Technology Xuzhou Jiangsu ChinaAbstract With the integration of wind, electricity and heat, the combined heat and power system has the characteristic of multi‐time scales, in which the wind power has high uncertainty, the thermal system is difficult to synchronize with the power system for the large inertia and delay. Therefore, the fixed time‐scale dispatching is unable to guarantee the reliability of the system. Given the above problems, this paper proposes a time‐scale adaptive dispatching strategy of the combined heat and power system considering thermal inertia. This strategy analyzes the time characteristics of wind power forecasting error and the thermal inertia, while later establishing time‐scale adaptive dispatching sub‐main model of combined heat and power system. Specifically, in the time‐scale adaptive method, the system available reserve model is improved due to the power support of the thermal inertia. Based on the existing fixed time‐scale dispatching, this method dynamically adjusts the steps of forecasting and the time‐scales of dispatching when the system available reserve is inadequate to compensate for the wind power forecasting error. Taking the 4‐h fixed time‐scale dispatching as an example, the simulation results suggest that the proposed strategy achieves the dynamic dispatching of the combined heat and power system, while improving its reliability and stability.https://doi.org/10.1049/rpg2.12743electric power generationpower generation dispatchpower system operation and planningrenewable energy sources |
| spellingShingle | Xiaojing Wang Li Han Mengjie Li Panpan Lu A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia IET Renewable Power Generation electric power generation power generation dispatch power system operation and planning renewable energy sources |
| title | A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia |
| title_full | A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia |
| title_fullStr | A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia |
| title_full_unstemmed | A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia |
| title_short | A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia |
| title_sort | time scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia |
| topic | electric power generation power generation dispatch power system operation and planning renewable energy sources |
| url | https://doi.org/10.1049/rpg2.12743 |
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