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Complementary operation of a small cascade hydropower station group and photovoltaic power stations
Complementation with hydropower is an important solution to solve the problems of grid connection and consumption of photovoltaic generation. Considering the randomicity of photovoltaic output and runoff, hydropower station with good regulation capability is often used as a complementary power sourc...
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| Published in: | Clean technologies and environmental policy 2020-09, Vol.22 (7), p.1565-1578 |
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| creator | Zhu, Yanmei Chen, Shijun Ma, Guangwen Huang, Weibin Han, Xiaoyan Ding, Lijie |
| description | Complementation with hydropower is an important solution to solve the problems of grid connection and consumption of photovoltaic generation. Considering the randomicity of photovoltaic output and runoff, hydropower station with good regulation capability is often used as a complementary power source of photovoltaic generation. However, there are only a small number of regulatory hydropower stations, which is difficult to meet complementary requirements of widely distributed photovoltaic power stations. The present study aimed to explore the feasibility of using a small cascade hydropower station group as the only complementary power source for photovoltaic generation. Based on electric energy production and output fluctuation, this study constructed a hydro-photovoltaic complementary operation model with dual-objectives of maximization of average capacity factor of the system and load rate of power generation. An algorithm coupling flower pollination algorithm with progressive optimality algorithm (coupling algorithm) was put forward to obtain solutions. The simulation results of the model showed that the fluctuation in joint operation mode is significantly lower than that in single operation mode, and the comprehensive target value on sunny day calculated by the coupling algorithm is 2.53% and 2.16% higher than the results of flower pollination algorithm and progressive optimality algorithm, respectively, verifying the reliability and rationality of the model and the algorithm.
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| doi_str_mv | 10.1007/s10098-020-01896-x |
| format | article |
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Graphic abstract</description><identifier>ISSN: 1618-954X</identifier><identifier>EISSN: 1618-9558</identifier><identifier>DOI: 10.1007/s10098-020-01896-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Capacity factor ; Complementation ; Computer simulation ; Coupling ; Earth and Environmental Science ; Electric power distribution ; Electricity generation ; Environment ; Environmental Economics ; Environmental Engineering/Biotechnology ; Environmental policy ; Flowers ; Hydroelectric power ; Hydroelectric power stations ; Industrial and Production Engineering ; Industrial Chemistry/Chemical Engineering ; Load distribution ; Optimization ; Original Paper ; Photovoltaic cells ; Photovoltaics ; Pollination ; Power ; Power plants ; Rationality ; Reliability ; Runoff ; Sustainable Development</subject><ispartof>Clean technologies and environmental policy, 2020-09, Vol.22 (7), p.1565-1578</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-9f1e10dac57f96123b98e1b7ca67ce4817fd150fd403dc5e1bb95993a39540b33</citedby><cites>FETCH-LOGICAL-c356t-9f1e10dac57f96123b98e1b7ca67ce4817fd150fd403dc5e1bb95993a39540b33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2432260534/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2432260534?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,21394,27866,27924,27925,33611,36060,43733,44363,74093,74767</link.rule.ids></links><search><creatorcontrib>Zhu, Yanmei</creatorcontrib><creatorcontrib>Chen, Shijun</creatorcontrib><creatorcontrib>Ma, Guangwen</creatorcontrib><creatorcontrib>Huang, Weibin</creatorcontrib><creatorcontrib>Han, Xiaoyan</creatorcontrib><creatorcontrib>Ding, Lijie</creatorcontrib><title>Complementary operation of a small cascade hydropower station group and photovoltaic power stations</title><title>Clean technologies and environmental policy</title><addtitle>Clean Techn Environ Policy</addtitle><description>Complementation with hydropower is an important solution to solve the problems of grid connection and consumption of photovoltaic generation. Considering the randomicity of photovoltaic output and runoff, hydropower station with good regulation capability is often used as a complementary power source of photovoltaic generation. However, there are only a small number of regulatory hydropower stations, which is difficult to meet complementary requirements of widely distributed photovoltaic power stations. The present study aimed to explore the feasibility of using a small cascade hydropower station group as the only complementary power source for photovoltaic generation. Based on electric energy production and output fluctuation, this study constructed a hydro-photovoltaic complementary operation model with dual-objectives of maximization of average capacity factor of the system and load rate of power generation. An algorithm coupling flower pollination algorithm with progressive optimality algorithm (coupling algorithm) was put forward to obtain solutions. The simulation results of the model showed that the fluctuation in joint operation mode is significantly lower than that in single operation mode, and the comprehensive target value on sunny day calculated by the coupling algorithm is 2.53% and 2.16% higher than the results of flower pollination algorithm and progressive optimality algorithm, respectively, verifying the reliability and rationality of the model and the algorithm.
Graphic abstract</description><subject>Algorithms</subject><subject>Capacity factor</subject><subject>Complementation</subject><subject>Computer simulation</subject><subject>Coupling</subject><subject>Earth and Environmental Science</subject><subject>Electric power distribution</subject><subject>Electricity generation</subject><subject>Environment</subject><subject>Environmental Economics</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Environmental policy</subject><subject>Flowers</subject><subject>Hydroelectric power</subject><subject>Hydroelectric power stations</subject><subject>Industrial and Production Engineering</subject><subject>Industrial Chemistry/Chemical Engineering</subject><subject>Load distribution</subject><subject>Optimization</subject><subject>Original Paper</subject><subject>Photovoltaic cells</subject><subject>Photovoltaics</subject><subject>Pollination</subject><subject>Power</subject><subject>Power plants</subject><subject>Rationality</subject><subject>Reliability</subject><subject>Runoff</subject><subject>Sustainable Development</subject><issn>1618-954X</issn><issn>1618-9558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>ALSLI</sourceid><sourceid>M0C</sourceid><sourceid>M2R</sourceid><recordid>eNp9kE9LxDAQxYMouK5-AU8Bz9VJ0rTNURb_wYIXBW8hTdLdLm0Tk67ufnujFcWLl5mB-b0Z3kPonMAlASivYqqiyoBCBqQSRbY7QDNSkCoTnFeHP3P-coxOYtwAUFpSmCG9cL3vbG-HUYU9dt4GNbZuwK7BCsdedR3WKmplLF7vTXDevduA4zhRq-C2HqvBYL92o3tz3ahajf9A8RQdNaqL9uy7z9Hz7c3T4j5bPt49LK6XmWa8GDPREEvAKM3LRhSEslpUltSlVkWpbV6RsjGEQ2NyYEbztKoFF4IplnxBzdgcXUx3fXCvWxtHuXHbMKSXkuaM0gI4yxNFJ0oHF2OwjfSh7ZN5SUB-himnMGUKU36FKXdJxCZRTPCwsuH39D-qD4kjejg</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Zhu, Yanmei</creator><creator>Chen, Shijun</creator><creator>Ma, Guangwen</creator><creator>Huang, 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technologies and environmental policy</jtitle><stitle>Clean Techn Environ Policy</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>22</volume><issue>7</issue><spage>1565</spage><epage>1578</epage><pages>1565-1578</pages><issn>1618-954X</issn><eissn>1618-9558</eissn><abstract>Complementation with hydropower is an important solution to solve the problems of grid connection and consumption of photovoltaic generation. Considering the randomicity of photovoltaic output and runoff, hydropower station with good regulation capability is often used as a complementary power source of photovoltaic generation. However, there are only a small number of regulatory hydropower stations, which is difficult to meet complementary requirements of widely distributed photovoltaic power stations. The present study aimed to explore the feasibility of using a small cascade hydropower station group as the only complementary power source for photovoltaic generation. Based on electric energy production and output fluctuation, this study constructed a hydro-photovoltaic complementary operation model with dual-objectives of maximization of average capacity factor of the system and load rate of power generation. An algorithm coupling flower pollination algorithm with progressive optimality algorithm (coupling algorithm) was put forward to obtain solutions. The simulation results of the model showed that the fluctuation in joint operation mode is significantly lower than that in single operation mode, and the comprehensive target value on sunny day calculated by the coupling algorithm is 2.53% and 2.16% higher than the results of flower pollination algorithm and progressive optimality algorithm, respectively, verifying the reliability and rationality of the model and the algorithm.
Graphic abstract</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10098-020-01896-x</doi><tpages>14</tpages></addata></record> |
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| subjects | Algorithms Capacity factor Complementation Computer simulation Coupling Earth and Environmental Science Electric power distribution Electricity generation Environment Environmental Economics Environmental Engineering/Biotechnology Environmental policy Flowers Hydroelectric power Hydroelectric power stations Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Load distribution Optimization Original Paper Photovoltaic cells Photovoltaics Pollination Power Power plants Rationality Reliability Runoff Sustainable Development |
| title | Complementary operation of a small cascade hydropower station group and photovoltaic power stations |
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