Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme Failure
The uncertainty of renewable energy output and the vulnerability under extreme weather conditions have become more and more prominent in the safety of power grid operation.The study proposes a long-term complementary operation rule generation method for hydro-wind-solar power that considers both the...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Pearl River
2023-01-01
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| Series: | Renmin Zhujiang |
| Subjects: | |
| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.11.004 |
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| _version_ | 1841536123667480576 |
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| author | JING Han CHEN Xiang MENG Hongwen LIU Benxi |
| author_facet | JING Han CHEN Xiang MENG Hongwen LIU Benxi |
| author_sort | JING Han |
| collection | DOAJ |
| description | The uncertainty of renewable energy output and the vulnerability under extreme weather conditions have become more and more prominent in the safety of power grid operation.The study proposes a long-term complementary operation rule generation method for hydro-wind-solar power that considers both the guaranteed rate of power generation and the extreme failure.Considering the joint output guarantee rate and the extreme failure of the hydro-wind-solar system,the method takes the maximum power generation as the goal.It uses the mixed-integer nonlinear program to carry out long-term sequence simulation joint operation of hydropower,wind power,and solar power.On this basis,the grey relation analysis is applied to screen the input factors.With the output of each hydropower station as that of the network,the BP neural network is adopted to generate the hydro-wind-solar complementary operation rules.Finally,the validity of the proposed model is verified through case analysis.The superiority of the proposed model is further demonstrated through the simulation analysis of scenarios related to different wind and solar installed capacities and extreme failure. |
| format | Article |
| id | doaj-art-b42e0956973c483ab0b4f5d67424d0cd |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2023-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-b42e0956973c483ab0b4f5d67424d0cd2025-01-15T02:21:54ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352023-01-014447637354Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme FailureJING HanCHEN XiangMENG HongwenLIU BenxiThe uncertainty of renewable energy output and the vulnerability under extreme weather conditions have become more and more prominent in the safety of power grid operation.The study proposes a long-term complementary operation rule generation method for hydro-wind-solar power that considers both the guaranteed rate of power generation and the extreme failure.Considering the joint output guarantee rate and the extreme failure of the hydro-wind-solar system,the method takes the maximum power generation as the goal.It uses the mixed-integer nonlinear program to carry out long-term sequence simulation joint operation of hydropower,wind power,and solar power.On this basis,the grey relation analysis is applied to screen the input factors.With the output of each hydropower station as that of the network,the BP neural network is adopted to generate the hydro-wind-solar complementary operation rules.Finally,the validity of the proposed model is verified through case analysis.The superiority of the proposed model is further demonstrated through the simulation analysis of scenarios related to different wind and solar installed capacities and extreme failure.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.11.004hydro-wind-solar complementaryartificial neural networkoperation rulesextreme failure |
| spellingShingle | JING Han CHEN Xiang MENG Hongwen LIU Benxi Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme Failure Renmin Zhujiang hydro-wind-solar complementary artificial neural network operation rules extreme failure |
| title | Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme Failure |
| title_full | Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme Failure |
| title_fullStr | Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme Failure |
| title_full_unstemmed | Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme Failure |
| title_short | Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme Failure |
| title_sort | hydro wind solar complementary operation rules considering system reliability and extreme failure |
| topic | hydro-wind-solar complementary artificial neural network operation rules extreme failure |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.11.004 |
| work_keys_str_mv | AT jinghan hydrowindsolarcomplementaryoperationrulesconsideringsystemreliabilityandextremefailure AT chenxiang hydrowindsolarcomplementaryoperationrulesconsideringsystemreliabilityandextremefailure AT menghongwen hydrowindsolarcomplementaryoperationrulesconsideringsystemreliabilityandextremefailure AT liubenxi hydrowindsolarcomplementaryoperationrulesconsideringsystemreliabilityandextremefailure |