Combined optimal economic dispatch of wind-storage-fire considering wind power uncertainty
The intermittency, volatility, and anti-peak shaving characteristics of wind power cause a large amount of waste of wind power, which affects its economic and environmental benefits. In view of the different characteristics of wind power, pumped storage and thermal power output, the internal and ext...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2022-01-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/html/2022/1/201210998.html |
| _version_ | 1828388298548051968 |
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| author | WANG Bo ZHAN Hongxia ZHANG Yong WANG Yingjie |
| author_facet | WANG Bo ZHAN Hongxia ZHANG Yong WANG Yingjie |
| author_sort | WANG Bo |
| collection | DOAJ |
| description | The intermittency, volatility, and anti-peak shaving characteristics of wind power cause a large amount of waste of wind power, which affects its economic and environmental benefits. In view of the different characteristics of wind power, pumped storage and thermal power output, the internal and external two-layer model is used to solve the problem. A dual-objective model with the largest internal wind-storage combined operation income and the smallest fluctuation of wind power is established firslyt to determine the pumping power or generate power of the pumped-storage unit. Then, an outer target model that takes into account the wind power forecast errors of different confidence levels is bulit to maximize the combined benefits of wind-storage. Secondly, the cooperative operation of pumped storage and wind power is used to deal with the uncertainty of wind power. Then the chance-constrained programming is used to deal with the random variables in the model. Finally, the particle swarm optimization-genetic algorithm (PSO-GA) hybrid optimization algorithm is used to solve the model. The IEEE 30-bus system verifies that the model increases the economic benefits of the system and reduces the volatility of wind power output. |
| first_indexed | 2024-12-10T06:10:35Z |
| format | Article |
| id | doaj.art-f545891b36394af49d6cbec5513affc9 |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-12-10T06:10:35Z |
| publishDate | 2022-01-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-f545891b36394af49d6cbec5513affc92022-12-22T01:59:35ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032022-01-014119310010.12158/j.2096-3203.2022.01.013Combined optimal economic dispatch of wind-storage-fire considering wind power uncertaintyWANG Bo0ZHAN Hongxia1ZHANG Yong2WANG Yingjie3School of Electrical and Electronic Information, Xihua University, Chengdu 610039, ChinaSchool of Electrical and Electronic Information, Xihua University, Chengdu 610039, ChinaState Grid Shuozhou Power Supply Company of Shanxi Electric Power Company, Shuozhou 036004, ChinaSchool of Electrical and Electronic Information, Xihua University, Chengdu 610039, ChinaThe intermittency, volatility, and anti-peak shaving characteristics of wind power cause a large amount of waste of wind power, which affects its economic and environmental benefits. In view of the different characteristics of wind power, pumped storage and thermal power output, the internal and external two-layer model is used to solve the problem. A dual-objective model with the largest internal wind-storage combined operation income and the smallest fluctuation of wind power is established firslyt to determine the pumping power or generate power of the pumped-storage unit. Then, an outer target model that takes into account the wind power forecast errors of different confidence levels is bulit to maximize the combined benefits of wind-storage. Secondly, the cooperative operation of pumped storage and wind power is used to deal with the uncertainty of wind power. Then the chance-constrained programming is used to deal with the random variables in the model. Finally, the particle swarm optimization-genetic algorithm (PSO-GA) hybrid optimization algorithm is used to solve the model. The IEEE 30-bus system verifies that the model increases the economic benefits of the system and reduces the volatility of wind power output.https://www.epet-info.com/html/2022/1/201210998.htmlwind powerpumped storagewind power forecast errorchance-constrained programmingparticle swarm optimization-genetic algorithm hybrid algorithmeconomic dispatch |
| spellingShingle | WANG Bo ZHAN Hongxia ZHANG Yong WANG Yingjie Combined optimal economic dispatch of wind-storage-fire considering wind power uncertainty 电力工程技术 wind power pumped storage wind power forecast error chance-constrained programming particle swarm optimization-genetic algorithm hybrid algorithm economic dispatch |
| title | Combined optimal economic dispatch of wind-storage-fire considering wind power uncertainty |
| title_full | Combined optimal economic dispatch of wind-storage-fire considering wind power uncertainty |
| title_fullStr | Combined optimal economic dispatch of wind-storage-fire considering wind power uncertainty |
| title_full_unstemmed | Combined optimal economic dispatch of wind-storage-fire considering wind power uncertainty |
| title_short | Combined optimal economic dispatch of wind-storage-fire considering wind power uncertainty |
| title_sort | combined optimal economic dispatch of wind storage fire considering wind power uncertainty |
| topic | wind power pumped storage wind power forecast error chance-constrained programming particle swarm optimization-genetic algorithm hybrid algorithm economic dispatch |
| url | https://www.epet-info.com/html/2022/1/201210998.html |
| work_keys_str_mv | AT wangbo combinedoptimaleconomicdispatchofwindstoragefireconsideringwindpoweruncertainty AT zhanhongxia combinedoptimaleconomicdispatchofwindstoragefireconsideringwindpoweruncertainty AT zhangyong combinedoptimaleconomicdispatchofwindstoragefireconsideringwindpoweruncertainty AT wangyingjie combinedoptimaleconomicdispatchofwindstoragefireconsideringwindpoweruncertainty |