Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination
The joint planning of wind photovoltaic storage can fully consider the characteristics of renewable energy resources, and the planning results are more scientific in a global perspective. In this paper, the medium-term and long-term time-series power balance is considered for joint planning of wind...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2023-11-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjsen/article/abstract/221008407 |
| _version_ | 1797405587490734080 |
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| author | SHI Zhaodi ZHU Ning LI Zheng CHEN Qi |
| author_facet | SHI Zhaodi ZHU Ning LI Zheng CHEN Qi |
| author_sort | SHI Zhaodi |
| collection | DOAJ |
| description | The joint planning of wind photovoltaic storage can fully consider the characteristics of renewable energy resources, and the planning results are more scientific in a global perspective. In this paper, the medium-term and long-term time-series power balance is considered for joint planning of wind photovoltaic storage, and the planning results are more reasonable and reliable. The multi-region wind photovoltaic storage joint planning problem is essentially a high-dimensional complex stochastic planning problem with wide area multiple power sources, multiple variables and multiple time sections, which is very time-consuming to solve and even impossible to solve due to dimensional disasters. Based on this, a multi-region wind photovoltaic storage joint planning model is established, and a hierarchical optimization algorithm is proposed based on regional decomposition coordination in this paper, which decomposes the multi-region wind photovoltaic storage joint planning model into a two-layer problem. The configuration capacity of power sources and energy storage in each sub-region is determined in the lower-layer problem. The power sources in each sub-region are determined in the upper-layer problem according to the capacity planning scheme given by the lower-level problem operation. The two layers iterate with each other to coordinate and obtain the optimal capacity of wind photovoltaic storage in each region. Finally, the rationality and effectiveness of the proposed model and method are verified by the arithmetic case analysis. |
| first_indexed | 2024-03-09T03:12:09Z |
| format | Article |
| id | doaj.art-ac63b65e048143e4b5c08aef9ca81cef |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-03-09T03:12:09Z |
| publishDate | 2023-11-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-ac63b65e048143e4b5c08aef9ca81cef2023-12-04T00:44:16ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032023-11-01426223110.12158/j.2096-3203.2023.06.003221008407Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordinationSHI Zhaodi0ZHU Ning1LI Zheng2CHEN Qi3China International Engineering Consulting Corporation, Beijing 100048, ChinaChina International Engineering Consulting Corporation, Beijing 100048, ChinaDepartment of Energy and Power Engineering, Tsinghua University, Beijing 100084, ChinaChina International Engineering Consulting Corporation, Beijing 100048, ChinaThe joint planning of wind photovoltaic storage can fully consider the characteristics of renewable energy resources, and the planning results are more scientific in a global perspective. In this paper, the medium-term and long-term time-series power balance is considered for joint planning of wind photovoltaic storage, and the planning results are more reasonable and reliable. The multi-region wind photovoltaic storage joint planning problem is essentially a high-dimensional complex stochastic planning problem with wide area multiple power sources, multiple variables and multiple time sections, which is very time-consuming to solve and even impossible to solve due to dimensional disasters. Based on this, a multi-region wind photovoltaic storage joint planning model is established, and a hierarchical optimization algorithm is proposed based on regional decomposition coordination in this paper, which decomposes the multi-region wind photovoltaic storage joint planning model into a two-layer problem. The configuration capacity of power sources and energy storage in each sub-region is determined in the lower-layer problem. The power sources in each sub-region are determined in the upper-layer problem according to the capacity planning scheme given by the lower-level problem operation. The two layers iterate with each other to coordinate and obtain the optimal capacity of wind photovoltaic storage in each region. Finally, the rationality and effectiveness of the proposed model and method are verified by the arithmetic case analysis.https://www.epet-info.com/dlgcjsen/article/abstract/221008407renewable energyenergy storagegeneration planninglagrangian relaxationdecomposition coordinationcapacity allocation |
| spellingShingle | SHI Zhaodi ZHU Ning LI Zheng CHEN Qi Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination 电力工程技术 renewable energy energy storage generation planning lagrangian relaxation decomposition coordination capacity allocation |
| title | Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination |
| title_full | Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination |
| title_fullStr | Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination |
| title_full_unstemmed | Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination |
| title_short | Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination |
| title_sort | joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination |
| topic | renewable energy energy storage generation planning lagrangian relaxation decomposition coordination capacity allocation |
| url | https://www.epet-info.com/dlgcjsen/article/abstract/221008407 |
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