Optimal dispatching strategy in the domain with energy storage and heat storage taking into account deep regulation of thermal power plants
In recent years, the installed capacity of wind power has been increasing, and the phenomenon of regional wind abandonment has become prominent. In order to improve the wind power accommodation, the domain definition is introduced, which stipulates that the periods without wind abandonment and load...
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description | In recent years, the installed capacity of wind power has been increasing, and the phenomenon of regional wind abandonment has become prominent. In order to improve the wind power accommodation, the domain definition is introduced, which stipulates that the periods without wind abandonment and load shedding during normal output of thermal power units are normal domains, the periods without wind abandonment or load shedding when thermal power units exert depth adjustment are abnormal domains, and the periods with wind abandonment or load shedding during depth adjustment of thermal power units are emergency domains. Give full play to the depth adjustment of thermal power units in abnormal and emergency areas, improve the accommodation of clean energy, and realize the coordinated and optimized scheduling of multiple energy sources including electricity storage and heat storage systems. To accommodate clean energy, an economic dispatching model including the cost of thermal power, the cost and benefit of power storage and heat storage system is constructed, and the optimal value of the model is solved by calling CPLEX with Matlab. The scheduling results not only ensure the safety and reliability of the whole network operation but also maximize the consumption of wind energy and realize the optimal clean energy scheduling. |
doi_str_mv | 10.1088/1755-1315/675/1/012145 |
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In order to improve the wind power accommodation, the domain definition is introduced, which stipulates that the periods without wind abandonment and load shedding during normal output of thermal power units are normal domains, the periods without wind abandonment or load shedding when thermal power units exert depth adjustment are abnormal domains, and the periods with wind abandonment or load shedding during depth adjustment of thermal power units are emergency domains. Give full play to the depth adjustment of thermal power units in abnormal and emergency areas, improve the accommodation of clean energy, and realize the coordinated and optimized scheduling of multiple energy sources including electricity storage and heat storage systems. To accommodate clean energy, an economic dispatching model including the cost of thermal power, the cost and benefit of power storage and heat storage system is constructed, and the optimal value of the model is solved by calling CPLEX with Matlab. The scheduling results not only ensure the safety and reliability of the whole network operation but also maximize the consumption of wind energy and realize the optimal clean energy scheduling.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/675/1/012145</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Abandonment ; Accommodation ; Clean energy ; Clean technology ; Domains ; Economic models ; Electric energy storage ; Electric power generation ; Electrical loads ; Energy ; Energy sources ; Energy storage ; Heat ; Heat storage ; Load shedding ; Network reliability ; Power plants ; Scheduling ; Storage systems ; Thermal power ; Thermal power plants ; Thermoelectricity ; Wind power</subject><ispartof>IOP conference series. Earth and environmental science, 2021-02, Vol.675 (1), p.12145</ispartof><rights>2021. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2325-7ff972b1b0e4735895a6613b090289b28c6d2b006bbb082806ca4fa8d394c4883</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ge, Weichun</creatorcontrib><creatorcontrib>Liu, Debao</creatorcontrib><creatorcontrib>Deng, Guannan</creatorcontrib><creatorcontrib>Zhao, Tieying</creatorcontrib><creatorcontrib>Wang, Shunjiang</creatorcontrib><creatorcontrib>Guo, Yu</creatorcontrib><title>Optimal dispatching strategy in the domain with energy storage and heat storage taking into account deep regulation of thermal power plants</title><title>IOP conference series. Earth and environmental science</title><description>In recent years, the installed capacity of wind power has been increasing, and the phenomenon of regional wind abandonment has become prominent. In order to improve the wind power accommodation, the domain definition is introduced, which stipulates that the periods without wind abandonment and load shedding during normal output of thermal power units are normal domains, the periods without wind abandonment or load shedding when thermal power units exert depth adjustment are abnormal domains, and the periods with wind abandonment or load shedding during depth adjustment of thermal power units are emergency domains. Give full play to the depth adjustment of thermal power units in abnormal and emergency areas, improve the accommodation of clean energy, and realize the coordinated and optimized scheduling of multiple energy sources including electricity storage and heat storage systems. To accommodate clean energy, an economic dispatching model including the cost of thermal power, the cost and benefit of power storage and heat storage system is constructed, and the optimal value of the model is solved by calling CPLEX with Matlab. The scheduling results not only ensure the safety and reliability of the whole network operation but also maximize the consumption of wind energy and realize the optimal clean energy scheduling.</description><subject>Abandonment</subject><subject>Accommodation</subject><subject>Clean energy</subject><subject>Clean technology</subject><subject>Domains</subject><subject>Economic models</subject><subject>Electric energy storage</subject><subject>Electric power generation</subject><subject>Electrical loads</subject><subject>Energy</subject><subject>Energy sources</subject><subject>Energy storage</subject><subject>Heat</subject><subject>Heat storage</subject><subject>Load shedding</subject><subject>Network reliability</subject><subject>Power plants</subject><subject>Scheduling</subject><subject>Storage systems</subject><subject>Thermal power</subject><subject>Thermal power plants</subject><subject>Thermoelectricity</subject><subject>Wind power</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9kEtLxDAUhYMoOI7-BQm4rs2jadKlDL5gYDa6DkmaPsZOUpOUwd_gn7ZlZFb3cO_hHO4HwD1GjxgJkWPOWIYpZnnJWY5zhAku2AVYnQ-XZ434NbiJcY9QyQtarcDvbkz9QQ2w7uOokul618KYgkq2_YG9g6mzsPYHNctjnzponQ3zJSYfVGuhcjXsrErnRVJfS0TvkofKGD-5BGtrRxhsOw0q9d5B3yyxYakd_dEGOA7KpXgLrho1RHv3P9fg8-X5Y_OWbXev75unbWYIJSzjTVNxorFGtuCUiYqpssRUowoRUWkiTFkTPX-otUaCCFQaVTRK1LQqTCEEXYOHU-4Y_PdkY5J7PwU3V0rCMKk45ZjMrvLkMsHHGGwjxzCTCj8SI7mAlwtTufCVM3iJ5Qk8_QPma3gX</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Ge, Weichun</creator><creator>Liu, Debao</creator><creator>Deng, Guannan</creator><creator>Zhao, Tieying</creator><creator>Wang, Shunjiang</creator><creator>Guo, Yu</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20210201</creationdate><title>Optimal dispatching strategy in the domain with energy storage and heat storage taking into account deep regulation of thermal power plants</title><author>Ge, Weichun ; Liu, Debao ; Deng, Guannan ; Zhao, Tieying ; Wang, Shunjiang ; Guo, Yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2325-7ff972b1b0e4735895a6613b090289b28c6d2b006bbb082806ca4fa8d394c4883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abandonment</topic><topic>Accommodation</topic><topic>Clean energy</topic><topic>Clean technology</topic><topic>Domains</topic><topic>Economic models</topic><topic>Electric energy storage</topic><topic>Electric power generation</topic><topic>Electrical loads</topic><topic>Energy</topic><topic>Energy sources</topic><topic>Energy storage</topic><topic>Heat</topic><topic>Heat storage</topic><topic>Load shedding</topic><topic>Network reliability</topic><topic>Power plants</topic><topic>Scheduling</topic><topic>Storage systems</topic><topic>Thermal power</topic><topic>Thermal power plants</topic><topic>Thermoelectricity</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ge, Weichun</creatorcontrib><creatorcontrib>Liu, Debao</creatorcontrib><creatorcontrib>Deng, Guannan</creatorcontrib><creatorcontrib>Zhao, Tieying</creatorcontrib><creatorcontrib>Wang, Shunjiang</creatorcontrib><creatorcontrib>Guo, Yu</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ge, Weichun</au><au>Liu, Debao</au><au>Deng, Guannan</au><au>Zhao, Tieying</au><au>Wang, Shunjiang</au><au>Guo, Yu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal dispatching strategy in the domain with energy storage and heat storage taking into account deep regulation of thermal power plants</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><date>2021-02-01</date><risdate>2021</risdate><volume>675</volume><issue>1</issue><spage>12145</spage><pages>12145-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>In recent years, the installed capacity of wind power has been increasing, and the phenomenon of regional wind abandonment has become prominent. In order to improve the wind power accommodation, the domain definition is introduced, which stipulates that the periods without wind abandonment and load shedding during normal output of thermal power units are normal domains, the periods without wind abandonment or load shedding when thermal power units exert depth adjustment are abnormal domains, and the periods with wind abandonment or load shedding during depth adjustment of thermal power units are emergency domains. Give full play to the depth adjustment of thermal power units in abnormal and emergency areas, improve the accommodation of clean energy, and realize the coordinated and optimized scheduling of multiple energy sources including electricity storage and heat storage systems. To accommodate clean energy, an economic dispatching model including the cost of thermal power, the cost and benefit of power storage and heat storage system is constructed, and the optimal value of the model is solved by calling CPLEX with Matlab. The scheduling results not only ensure the safety and reliability of the whole network operation but also maximize the consumption of wind energy and realize the optimal clean energy scheduling.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/675/1/012145</doi><oa>free_for_read</oa></addata></record> |
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subjects | Abandonment Accommodation Clean energy Clean technology Domains Economic models Electric energy storage Electric power generation Electrical loads Energy Energy sources Energy storage Heat Heat storage Load shedding Network reliability Power plants Scheduling Storage systems Thermal power Thermal power plants Thermoelectricity Wind power |
title | Optimal dispatching strategy in the domain with energy storage and heat storage taking into account deep regulation of thermal power plants |
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