Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological Filter
With the development goal of a low-cost and low-carbon reserve market, this paper proposes a dynamic assessment method for day-ahead consumption service reserve demand considering the forecast error of uncertainty power. The iterative self-organizing data analysis techniques algorithm is adopted to...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/16/5979 |
| _version_ | 1797584873719857152 |
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| author | Xinlei Cai Naixiao Wang Qinqin Cai Hengzhen Wang Zhangying Cheng Zhijun Wang Tingxiang Zhang Ying Xu |
| author_facet | Xinlei Cai Naixiao Wang Qinqin Cai Hengzhen Wang Zhangying Cheng Zhijun Wang Tingxiang Zhang Ying Xu |
| author_sort | Xinlei Cai |
| collection | DOAJ |
| description | With the development goal of a low-cost and low-carbon reserve market, this paper proposes a dynamic assessment method for day-ahead consumption service reserve demand considering the forecast error of uncertainty power. The iterative self-organizing data analysis techniques algorithm is adopted to cluster the historical actual power into typical scenarios. In addition, the online matching between the typical scenario and the day-ahead forecast power is conducted. In order to realize the hierarchical quantification of reserve demand, the reserve resources in the whole power system are classified according to their response time. Furthermore, the mathematical morphology filter based on the structural elements that are consistent with the response time of the hierarchical reserve resources is initially applied to decompose the historical forecast error of the matched scenarios. The simulation results verify that the proposed dynamic assessment effectively reduces the reserve cost on the basis of being able to cope with multi-time-scale power fluctuations. |
| first_indexed | 2024-03-10T23:57:57Z |
| format | Article |
| id | doaj.art-0d8a3cb7ec32438582858e80386eb0bb |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T23:57:57Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0d8a3cb7ec32438582858e80386eb0bb2023-11-19T00:56:58ZengMDPI AGEnergies1996-10732023-08-011616597910.3390/en16165979Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological FilterXinlei Cai0Naixiao Wang1Qinqin Cai2Hengzhen Wang3Zhangying Cheng4Zhijun Wang5Tingxiang Zhang6Ying Xu7Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510220, ChinaElectric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510220, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaElectric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510220, ChinaElectric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510220, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaWith the development goal of a low-cost and low-carbon reserve market, this paper proposes a dynamic assessment method for day-ahead consumption service reserve demand considering the forecast error of uncertainty power. The iterative self-organizing data analysis techniques algorithm is adopted to cluster the historical actual power into typical scenarios. In addition, the online matching between the typical scenario and the day-ahead forecast power is conducted. In order to realize the hierarchical quantification of reserve demand, the reserve resources in the whole power system are classified according to their response time. Furthermore, the mathematical morphology filter based on the structural elements that are consistent with the response time of the hierarchical reserve resources is initially applied to decompose the historical forecast error of the matched scenarios. The simulation results verify that the proposed dynamic assessment effectively reduces the reserve cost on the basis of being able to cope with multi-time-scale power fluctuations.https://www.mdpi.com/1996-1073/16/16/5979consumption service reservedynamic assessmentISODATA clustering algorithmmorphological filter |
| spellingShingle | Xinlei Cai Naixiao Wang Qinqin Cai Hengzhen Wang Zhangying Cheng Zhijun Wang Tingxiang Zhang Ying Xu Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological Filter Energies consumption service reserve dynamic assessment ISODATA clustering algorithm morphological filter |
| title | Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological Filter |
| title_full | Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological Filter |
| title_fullStr | Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological Filter |
| title_full_unstemmed | Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological Filter |
| title_short | Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological Filter |
| title_sort | day ahead dynamic assessment of consumption service reserve based on morphological filter |
| topic | consumption service reserve dynamic assessment ISODATA clustering algorithm morphological filter |
| url | https://www.mdpi.com/1996-1073/16/16/5979 |
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