Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation
With the fast growth of renewable energy, the modern power systems are transitioning to the renewable energy dominated energy systems. However, the intrinsic intermittence and volatility of renewable energy also impose considerable challenges on the power system operation. Hence, it is of great sign...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1067884/full |
| _version_ | 1797952130281111552 |
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| author | Yi Yu Hongsheng Zhao Yang Zeng Feng Chen Dongjun Yang Bo Wang Qiushi Xu Binxian Li |
| author_facet | Yi Yu Hongsheng Zhao Yang Zeng Feng Chen Dongjun Yang Bo Wang Qiushi Xu Binxian Li |
| author_sort | Yi Yu |
| collection | DOAJ |
| description | With the fast growth of renewable energy, the modern power systems are transitioning to the renewable energy dominated energy systems. However, the intrinsic intermittence and volatility of renewable energy also impose considerable challenges on the power system operation. Hence, it is of great significance to accurately evaluate the renewable energy accommodation capacity (REAC) in power system so as to effectively instruct the sustainable development of renewable energy and to alleviate the ongoing operational burdens. This paper proposes a novel evaluation method of REAC in power system comprehensively considering peak and frequency regulation. First, the mechanism and cost of deep peak regulation of thermal power units are deeply analyzed, and then the frequency dynamics response is modeled explicitly and simplified effectively. Next, a synthetic interaction model of “source-network-storage” is developed with diversified generation units, network and energy storage constraints. Furthermore, a multi-objective optimization model is established considering both economic and technical issues, and a REAC evaluation method is developed by integrating an incremental capacity augment approach with the proposed multi-objective model. Finally, the proposed REAC evaluation method is tested on the modified IEEE 39-bus system, and the numerical results verify the effectiveness of the proposed method. |
| first_indexed | 2024-04-10T22:41:27Z |
| format | Article |
| id | doaj.art-30da6660446847ec956f0307f840ba74 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-10T22:41:27Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-30da6660446847ec956f0307f840ba742023-01-16T04:25:01ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.10678841067884Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulationYi Yu0Hongsheng Zhao1Yang Zeng2Feng Chen3Dongjun Yang4Bo Wang5Qiushi Xu6Binxian Li7Economics and Technology Research Institute, State Grid Hubei Electric Power Co, Ltd., Wuhan, ChinaEconomics and Technology Research Institute, State Grid Hubei Electric Power Co, Ltd., Wuhan, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaEconomics and Technology Research Institute, State Grid Hubei Electric Power Co, Ltd., Wuhan, ChinaEconomics and Technology Research Institute, State Grid Hubei Electric Power Co, Ltd., Wuhan, ChinaEconomics and Technology Research Institute, State Grid Hubei Electric Power Co, Ltd., Wuhan, ChinaEconomics and Technology Research Institute, State Grid Hubei Electric Power Co, Ltd., Wuhan, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaWith the fast growth of renewable energy, the modern power systems are transitioning to the renewable energy dominated energy systems. However, the intrinsic intermittence and volatility of renewable energy also impose considerable challenges on the power system operation. Hence, it is of great significance to accurately evaluate the renewable energy accommodation capacity (REAC) in power system so as to effectively instruct the sustainable development of renewable energy and to alleviate the ongoing operational burdens. This paper proposes a novel evaluation method of REAC in power system comprehensively considering peak and frequency regulation. First, the mechanism and cost of deep peak regulation of thermal power units are deeply analyzed, and then the frequency dynamics response is modeled explicitly and simplified effectively. Next, a synthetic interaction model of “source-network-storage” is developed with diversified generation units, network and energy storage constraints. Furthermore, a multi-objective optimization model is established considering both economic and technical issues, and a REAC evaluation method is developed by integrating an incremental capacity augment approach with the proposed multi-objective model. Finally, the proposed REAC evaluation method is tested on the modified IEEE 39-bus system, and the numerical results verify the effectiveness of the proposed method.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1067884/fullrenewable energy accommodation capacitydeep peak regulationfrequency dynamics response“source-network-storage” interactionmulti-objective optimization model |
| spellingShingle | Yi Yu Hongsheng Zhao Yang Zeng Feng Chen Dongjun Yang Bo Wang Qiushi Xu Binxian Li Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation Frontiers in Energy Research renewable energy accommodation capacity deep peak regulation frequency dynamics response “source-network-storage” interaction multi-objective optimization model |
| title | Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation |
| title_full | Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation |
| title_fullStr | Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation |
| title_full_unstemmed | Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation |
| title_short | Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation |
| title_sort | accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation |
| topic | renewable energy accommodation capacity deep peak regulation frequency dynamics response “source-network-storage” interaction multi-objective optimization model |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1067884/full |
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