Research on Decision-making of Demand-side Energy Consumption Plan Based on Game Theory
A Based on the features of information sharing and energy interaction within smart grid, a decision-making model of energy consumption based on Nash equilibrium solution is developed to analysis the problem of competition and benefit conflict among different kinds of power users on demand-side. The...
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| Veröffentlicht in: | IOP conference series. Earth and environmental science 2019-03, Vol.242 (5), p.52030 |
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| container_title | IOP conference series. Earth and environmental science |
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| creator | Zhang, Qiang Gao, Tianze Cui, Qiang Fu, FengChen Xu, Dianxiang Gao, TianZe |
| description | A Based on the features of information sharing and energy interaction within smart grid, a decision-making model of energy consumption based on Nash equilibrium solution is developed to analysis the problem of competition and benefit conflict among different kinds of power users on demand-side. The payoff functions of three kinds of player are built, which are flexible, non-flexible and storable, relatively. The Nash equilibrium is solved to calculate the respective energy consumption and benefit in a non-cooperative game by Nikaido-Isoda function optimization. Taking a certain area in Western China as a case, simulation analysis of the game process of three kinds of users with the actual load is carried out. The results show that the game between power users can in-crease the system load rate, reduce the peak and valley difference of the system load, and reduce the cost of power production. |
| doi_str_mv | 10.1088/1755-1315/242/5/052030 |
| format | Article |
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The payoff functions of three kinds of player are built, which are flexible, non-flexible and storable, relatively. The Nash equilibrium is solved to calculate the respective energy consumption and benefit in a non-cooperative game by Nikaido-Isoda function optimization. Taking a certain area in Western China as a case, simulation analysis of the game process of three kinds of users with the actual load is carried out. 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The results show that the game between power users can in-crease the system load rate, reduce the peak and valley difference of the system load, and reduce the cost of power production.</description><subject>Decision making</subject><subject>Decision theory</subject><subject>Electrical loads</subject><subject>Energy consumption</subject><subject>Game theory</subject><subject>Load distribution</subject><subject>Optimization</subject><subject>Peak load</subject><subject>Simulation analysis</subject><subject>Smart grid</subject><issn>1755-1307</issn><issn>1755-1315</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkFFLwzAQx4MoOKdfQQK--FJ7aZqmfdRZpzBQdOJjyNJk67RJTbaHfXtbKhNB8OmOu__vDn4InRO4IpDnMeGMRYQSFidpErMYWAIUDtBovzjc98CP0UkIa4CMp7QYobdnHbT0aoWdxbda1aF2Nmrke22X2Jlu1EhbRaGuNC6t9ssdnjgbtk276YL46UNafCODrnp-KhuN5yvt_O4UHRn5EfTZdx2j17tyPrmPZo_Th8n1LFKUcIgyszC5SVJiKsgrXegUqFpwtWCsKDKWMcUKBpoRpXMAKNJ8IXnKgUkuaQWUjtHFcLf17nOrw0as3dbb7qVIeMYTWmR50aWyIaW8C8FrI1pfN9LvBAHRSxS9H9G7Ep1EwcQgsQOTAaxd-3P5X-jyD6gsX37FRFsZ-gV5037F</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Zhang, Qiang</creator><creator>Gao, Tianze</creator><creator>Cui, Qiang</creator><creator>Fu, FengChen</creator><creator>Xu, Dianxiang</creator><creator>Gao, TianZe</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</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>PYCSY</scope></search><sort><creationdate>20190301</creationdate><title>Research on Decision-making of Demand-side Energy Consumption Plan Based on Game Theory</title><author>Zhang, Qiang ; Gao, Tianze ; Cui, Qiang ; Fu, FengChen ; Xu, Dianxiang ; Gao, TianZe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3170-6fbf8f241fd08de9e403cb7cb55996565c5950e51ce8000948ba74705a7a3d033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Decision making</topic><topic>Decision theory</topic><topic>Electrical loads</topic><topic>Energy consumption</topic><topic>Game theory</topic><topic>Load distribution</topic><topic>Optimization</topic><topic>Peak load</topic><topic>Simulation analysis</topic><topic>Smart grid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Qiang</creatorcontrib><creatorcontrib>Gao, Tianze</creatorcontrib><creatorcontrib>Cui, Qiang</creatorcontrib><creatorcontrib>Fu, FengChen</creatorcontrib><creatorcontrib>Xu, Dianxiang</creatorcontrib><creatorcontrib>Gao, TianZe</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</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>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>Zhang, Qiang</au><au>Gao, Tianze</au><au>Cui, Qiang</au><au>Fu, FengChen</au><au>Xu, Dianxiang</au><au>Gao, TianZe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on Decision-making of Demand-side Energy Consumption Plan Based on Game Theory</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. 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| source | IOP Publishing Free Content; Institute of Physics IOPscience extra; EZB-FREE-00999 freely available EZB journals |
| subjects | Decision making Decision theory Electrical loads Energy consumption Game theory Load distribution Optimization Peak load Simulation analysis Smart grid |
| title | Research on Decision-making of Demand-side Energy Consumption Plan Based on Game Theory |
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