Optimum scheduling of non-utility facility with battery storage under a price-taking scheme
© 2015 IEEE. Modeling of non-utility facility with generation and battery storage is presented. The operation strategy for non-utility facility is determined by solving a daily generation scheduling problem under a price-taking scheme. Numerical simulations are performed under various scenarios. It...
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th-cmuir.6653943832-442242018-04-25T07:47:11Z Optimum scheduling of non-utility facility with battery storage under a price-taking scheme Somboon Nuchprayoon Agricultural and Biological Sciences © 2015 IEEE. Modeling of non-utility facility with generation and battery storage is presented. The operation strategy for non-utility facility is determined by solving a daily generation scheduling problem under a price-taking scheme. Numerical simulations are performed under various scenarios. It is shown that the optimal strategy is complex when either fuel supply is limited or electric utility allows buy-back option for non-utility facility. The impacts of price and load variations on the complexity of solutions are investigated. The sizing of battery storage device is also examined. 2018-01-24T04:39:37Z 2018-01-24T04:39:37Z 2015-08-31 Conference Proceeding 2-s2.0-84951336060 10.1109/PTC.2015.7232608 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951336060&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44224 |
| institution |
Chiang Mai University |
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Chiang Mai University Library |
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Thailand |
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CMU Intellectual Repository |
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Agricultural and Biological Sciences |
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Agricultural and Biological Sciences Somboon Nuchprayoon Optimum scheduling of non-utility facility with battery storage under a price-taking scheme |
| description |
© 2015 IEEE. Modeling of non-utility facility with generation and battery storage is presented. The operation strategy for non-utility facility is determined by solving a daily generation scheduling problem under a price-taking scheme. Numerical simulations are performed under various scenarios. It is shown that the optimal strategy is complex when either fuel supply is limited or electric utility allows buy-back option for non-utility facility. The impacts of price and load variations on the complexity of solutions are investigated. The sizing of battery storage device is also examined. |
| format |
Conference Proceeding |
| author |
Somboon Nuchprayoon |
| author_facet |
Somboon Nuchprayoon |
| author_sort |
Somboon Nuchprayoon |
| title |
Optimum scheduling of non-utility facility with battery storage under a price-taking scheme |
| title_short |
Optimum scheduling of non-utility facility with battery storage under a price-taking scheme |
| title_full |
Optimum scheduling of non-utility facility with battery storage under a price-taking scheme |
| title_fullStr |
Optimum scheduling of non-utility facility with battery storage under a price-taking scheme |
| title_full_unstemmed |
Optimum scheduling of non-utility facility with battery storage under a price-taking scheme |
| title_sort |
optimum scheduling of non-utility facility with battery storage under a price-taking scheme |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951336060&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44224 |
| _version_ |
1681422519848927232 |