Planning model for rural distribution networks with integrated energy stations via robust optimization method
With the modernization and intelligent development of agriculture, the energy demand in rural areas continues to increase, which leads to an increased operational burden on the existing rural distribution network. Integrated energy stations (IESs), in rural areas, use renewable energy sources such a...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-01-01
|
| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1298365/full |
| _version_ | 1797365529887899648 |
|---|---|
| author | Zhichun Yang Huaidong Min Fan Yang Yu Liu Yu Shen Bin Zhou Zhiqiang Zhou Wei Hu Yang Lei |
| author_facet | Zhichun Yang Huaidong Min Fan Yang Yu Liu Yu Shen Bin Zhou Zhiqiang Zhou Wei Hu Yang Lei |
| author_sort | Zhichun Yang |
| collection | DOAJ |
| description | With the modernization and intelligent development of agriculture, the energy demand in rural areas continues to increase, which leads to an increased operational burden on the existing rural distribution network. Integrated energy stations (IESs), in rural areas, use renewable energy sources such as biogas, wind power, and photovoltaic as energy inputs, which can fully improve energy efficiency and help reduce the operating load and peak valley difference of rural distribution networks. In this paper, a multistage planning model is proposed for rural distribution networks with IESs based on the robust optimization method. Firstly, a rural distribution network operation framework with IESs is proposed, and a mathematical model of rural IESs is built based on the energy hub (EH). Then, the multistage robust planning model of rural distribution net-works with IESs is developed and typical scenarios of stochastic source and load are generated based on improved k-means. An iterative solution method for a two-stage robust optimization method is proposed based on the nested column constraint generation (NC&CG) algorithm. Finally, the effectiveness of the presented model and solution approach is assessed through case studies on a modified IEEE 33-node distribution network and a real 152-node distribution network. |
| first_indexed | 2024-03-08T16:50:17Z |
| format | Article |
| id | doaj.art-aef1578833544309bb79bba72091b132 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-08T16:50:17Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-aef1578833544309bb79bba72091b1322024-01-05T04:45:27ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-01-011110.3389/fenrg.2023.12983651298365Planning model for rural distribution networks with integrated energy stations via robust optimization methodZhichun Yang0Huaidong Min1Fan Yang2Yu Liu3Yu Shen4Bin Zhou5Zhiqiang Zhou6Wei Hu7Yang Lei8Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan, ChinaElectric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan, ChinaElectric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan, ChinaElectric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan, ChinaElectric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan, ChinaState Grid Hubei Electric Power Co., Ltd., Wuhan, ChinaState Grid Hubei Electric Power Co., Ltd., Wuhan, ChinaElectric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan, ChinaElectric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan, ChinaWith the modernization and intelligent development of agriculture, the energy demand in rural areas continues to increase, which leads to an increased operational burden on the existing rural distribution network. Integrated energy stations (IESs), in rural areas, use renewable energy sources such as biogas, wind power, and photovoltaic as energy inputs, which can fully improve energy efficiency and help reduce the operating load and peak valley difference of rural distribution networks. In this paper, a multistage planning model is proposed for rural distribution networks with IESs based on the robust optimization method. Firstly, a rural distribution network operation framework with IESs is proposed, and a mathematical model of rural IESs is built based on the energy hub (EH). Then, the multistage robust planning model of rural distribution net-works with IESs is developed and typical scenarios of stochastic source and load are generated based on improved k-means. An iterative solution method for a two-stage robust optimization method is proposed based on the nested column constraint generation (NC&CG) algorithm. Finally, the effectiveness of the presented model and solution approach is assessed through case studies on a modified IEEE 33-node distribution network and a real 152-node distribution network.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1298365/fulldistribution network planningflexible controlintegrated energy stationmultistage robust planningNCCG algorithm |
| spellingShingle | Zhichun Yang Huaidong Min Fan Yang Yu Liu Yu Shen Bin Zhou Zhiqiang Zhou Wei Hu Yang Lei Planning model for rural distribution networks with integrated energy stations via robust optimization method Frontiers in Energy Research distribution network planning flexible control integrated energy station multistage robust planning NCCG algorithm |
| title | Planning model for rural distribution networks with integrated energy stations via robust optimization method |
| title_full | Planning model for rural distribution networks with integrated energy stations via robust optimization method |
| title_fullStr | Planning model for rural distribution networks with integrated energy stations via robust optimization method |
| title_full_unstemmed | Planning model for rural distribution networks with integrated energy stations via robust optimization method |
| title_short | Planning model for rural distribution networks with integrated energy stations via robust optimization method |
| title_sort | planning model for rural distribution networks with integrated energy stations via robust optimization method |
| topic | distribution network planning flexible control integrated energy station multistage robust planning NCCG algorithm |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1298365/full |
| work_keys_str_mv | AT zhichunyang planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod AT huaidongmin planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod AT fanyang planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod AT yuliu planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod AT yushen planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod AT binzhou planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod AT zhiqiangzhou planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod AT weihu planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod AT yanglei planningmodelforruraldistributionnetworkswithintegratedenergystationsviarobustoptimizationmethod |