Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy
Currently, the world is rapidly advancing in terms of the construction of new power systems, and planning suitable distribution network planning while also considering renewable energy has become a hot issue. Based on this background, this paper studies the distribution network planning problem. Com...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/1/152 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841549236254015488 |
|---|---|
| author | Qihe Lou Yanbin Li Zhenwei Li Liu Han Ying Xu Zhongkai Yi |
| author_facet | Qihe Lou Yanbin Li Zhenwei Li Liu Han Ying Xu Zhongkai Yi |
| author_sort | Qihe Lou |
| collection | DOAJ |
| description | Currently, the world is rapidly advancing in terms of the construction of new power systems, and planning suitable distribution network planning while also considering renewable energy has become a hot issue. Based on this background, this paper studies the distribution network planning problem. Compared with the traditional planning method, the paper considers the impact of load growth and renewable energy penetration and uses the multi-stage planning method to build the planning model; at the same time, in the scenarios selection, the affinity propagation (AP) clustering algorithm is adopted, which can automatically obtain the number of clusters. Based on the proposed model, an IEEE 33-node is used for simulation. The simulation results show that, compared with the traditional static planning method, the total economic cost of the proposed method is reduced by 4.87% and the wind–solar curtailment rate is reduced by 59.01%; in addition, according to the proposed method, the impact of energy storage equipment and wind–solar permeability on the planning results is studied. It is found that, when considering energy storage, the amount of abandoned wind and light decreases by 22.35% and the total cost first decreases and then increases with the increase in wind–solar permeability, while the total economic cost reaches the minimum at about 40%. The impact of load growth rate on the planning results is also studied. Finally, the generalizability of the proposed method is investigated while using the IEEE 69-node system as an example. |
| format | Article |
| id | doaj-art-e37527f8b8b94adaa57f84352404e002 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-e37527f8b8b94adaa57f84352404e0022025-01-10T13:17:14ZengMDPI AGEnergies1996-10732025-01-0118115210.3390/en18010152Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable EnergyQihe Lou0Yanbin Li1Zhenwei Li2Liu Han3Ying Xu4Zhongkai Yi5School of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaCurrently, the world is rapidly advancing in terms of the construction of new power systems, and planning suitable distribution network planning while also considering renewable energy has become a hot issue. Based on this background, this paper studies the distribution network planning problem. Compared with the traditional planning method, the paper considers the impact of load growth and renewable energy penetration and uses the multi-stage planning method to build the planning model; at the same time, in the scenarios selection, the affinity propagation (AP) clustering algorithm is adopted, which can automatically obtain the number of clusters. Based on the proposed model, an IEEE 33-node is used for simulation. The simulation results show that, compared with the traditional static planning method, the total economic cost of the proposed method is reduced by 4.87% and the wind–solar curtailment rate is reduced by 59.01%; in addition, according to the proposed method, the impact of energy storage equipment and wind–solar permeability on the planning results is studied. It is found that, when considering energy storage, the amount of abandoned wind and light decreases by 22.35% and the total cost first decreases and then increases with the increase in wind–solar permeability, while the total economic cost reaches the minimum at about 40%. The impact of load growth rate on the planning results is also studied. Finally, the generalizability of the proposed method is investigated while using the IEEE 69-node system as an example.https://www.mdpi.com/1996-1073/18/1/152multi-stage planningaffinity propagation clustering algorithmwind and solar penetrationenergy storage |
| spellingShingle | Qihe Lou Yanbin Li Zhenwei Li Liu Han Ying Xu Zhongkai Yi Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy Energies multi-stage planning affinity propagation clustering algorithm wind and solar penetration energy storage |
| title | Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy |
| title_full | Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy |
| title_fullStr | Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy |
| title_full_unstemmed | Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy |
| title_short | Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy |
| title_sort | multi stage planning approach for distribution network considering long term variations in load and renewable energy |
| topic | multi-stage planning affinity propagation clustering algorithm wind and solar penetration energy storage |
| url | https://www.mdpi.com/1996-1073/18/1/152 |
| work_keys_str_mv | AT qihelou multistageplanningapproachfordistributionnetworkconsideringlongtermvariationsinloadandrenewableenergy AT yanbinli multistageplanningapproachfordistributionnetworkconsideringlongtermvariationsinloadandrenewableenergy AT zhenweili multistageplanningapproachfordistributionnetworkconsideringlongtermvariationsinloadandrenewableenergy AT liuhan multistageplanningapproachfordistributionnetworkconsideringlongtermvariationsinloadandrenewableenergy AT yingxu multistageplanningapproachfordistributionnetworkconsideringlongtermvariationsinloadandrenewableenergy AT zhongkaiyi multistageplanningapproachfordistributionnetworkconsideringlongtermvariationsinloadandrenewableenergy |