Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response
Abstract To reduce phenomenon of abandoning wind and photovoltaic power, improve the limitations of traditional methods in dealing with uncertainty of wind and photovoltaic power and system planning, and improve the optimal configuration of resources, an optimal capacity configuration of joint syste...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13160 |
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| author | Yuanxiang Luo Haixin Hao Lidong Fan |
| author_facet | Yuanxiang Luo Haixin Hao Lidong Fan |
| author_sort | Yuanxiang Luo |
| collection | DOAJ |
| description | Abstract To reduce phenomenon of abandoning wind and photovoltaic power, improve the limitations of traditional methods in dealing with uncertainty of wind and photovoltaic power and system planning, and improve the optimal configuration of resources, an optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response is proposed. Firstly, using probability distribution information of wind and photovoltaic power output, the distance between actual probability distribution and forecast probability distribution is constrained based on the 1‐norm and ∞‐norm. A fuzzy set considering uncertainty probability distribution is constructed, and a two‐stage distributed robust planning model is established. The first stage involves optimizing joint system capacity for scenarios with the lowest probability of wind and photovoltaic power; the second stage builds on capacity optimization scheme from the first stage and aims to minimize operating costs through simulation optimization. Secondly, column and constraint generation is used to solve the model. Finally, constructing an example based on actual data from a power grid in Northeast China for simulation and analysis, the results show that the method achieves a balanced optimization of robustness and economy, effectively reduces carbon emissions and improves ability of the system to consume wind and photovoltaic power. |
| format | Article |
| id | doaj-art-f8db362a782f48c68fc537b9d48e6153 |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-f8db362a782f48c68fc537b9d48e61532025-01-30T12:15:54ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118164210422110.1049/rpg2.13160Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand responseYuanxiang Luo0Haixin Hao1Lidong Fan2School of Electrical Engineering Northeast Electric Power University Jilin ChinaSchool of Electrical Engineering Northeast Electric Power University Jilin ChinaSchool of Electrical Engineering Northeast Electric Power University Jilin ChinaAbstract To reduce phenomenon of abandoning wind and photovoltaic power, improve the limitations of traditional methods in dealing with uncertainty of wind and photovoltaic power and system planning, and improve the optimal configuration of resources, an optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response is proposed. Firstly, using probability distribution information of wind and photovoltaic power output, the distance between actual probability distribution and forecast probability distribution is constrained based on the 1‐norm and ∞‐norm. A fuzzy set considering uncertainty probability distribution is constructed, and a two‐stage distributed robust planning model is established. The first stage involves optimizing joint system capacity for scenarios with the lowest probability of wind and photovoltaic power; the second stage builds on capacity optimization scheme from the first stage and aims to minimize operating costs through simulation optimization. Secondly, column and constraint generation is used to solve the model. Finally, constructing an example based on actual data from a power grid in Northeast China for simulation and analysis, the results show that the method achieves a balanced optimization of robustness and economy, effectively reduces carbon emissions and improves ability of the system to consume wind and photovoltaic power.https://doi.org/10.1049/rpg2.13160energy storagepower system operation and planningrenewable energy sourcesresource allocation |
| spellingShingle | Yuanxiang Luo Haixin Hao Lidong Fan Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response IET Renewable Power Generation energy storage power system operation and planning renewable energy sources resource allocation |
| title | Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response |
| title_full | Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response |
| title_fullStr | Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response |
| title_full_unstemmed | Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response |
| title_short | Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response |
| title_sort | optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response |
| topic | energy storage power system operation and planning renewable energy sources resource allocation |
| url | https://doi.org/10.1049/rpg2.13160 |
| work_keys_str_mv | AT yuanxiangluo optimalcapacityconfigurationofjointsystemconsideringuncertaintyofwindandphotovoltaicpoweranddemandresponse AT haixinhao optimalcapacityconfigurationofjointsystemconsideringuncertaintyofwindandphotovoltaicpoweranddemandresponse AT lidongfan optimalcapacityconfigurationofjointsystemconsideringuncertaintyofwindandphotovoltaicpoweranddemandresponse |