Optimal Demand Response of Smart Home with PV Generators
Demand response (DR) is used mainly to help to schedule a customer’s power utilization based on the electricity price that is announced by the power distribution company so that both demand and supply can optimally benefit. The work proposes a users’ load model and the interior point method for opti...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2014/942768 |
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| _version_ | 1832552203693326336 |
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| author | Chao-Rong Chen Ming-Jen Lan |
| author_facet | Chao-Rong Chen Ming-Jen Lan |
| author_sort | Chao-Rong Chen |
| collection | DOAJ |
| description | Demand response (DR) is used mainly to help to schedule a customer’s power utilization based on the electricity price that is announced by the power distribution company so that both demand and supply can optimally benefit. The work proposes a users’ load model and the interior point method for optimal scheduling with elastic power utilization to minimize power price. The interior point method has the advantages of rapid convergence and robustness. Customers can not only use PV generators and battery sets as backup power sources, but also benefit from green energy. As revealed by the results herein, the use of elastic power utilization time intervals enables customers to pay less power price. |
| format | Article |
| id | doaj-art-0fa1e34f0efa43fe8e76ac797a4a0dae |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-0fa1e34f0efa43fe8e76ac797a4a0dae2025-02-03T05:59:12ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2014-01-01201410.1155/2014/942768942768Optimal Demand Response of Smart Home with PV GeneratorsChao-Rong Chen0Ming-Jen Lan1Electrical Engineering, National Taipei University of Technology, Taipei 106, TaiwanElectrical Engineering, National Taipei University of Technology, Taipei 106, TaiwanDemand response (DR) is used mainly to help to schedule a customer’s power utilization based on the electricity price that is announced by the power distribution company so that both demand and supply can optimally benefit. The work proposes a users’ load model and the interior point method for optimal scheduling with elastic power utilization to minimize power price. The interior point method has the advantages of rapid convergence and robustness. Customers can not only use PV generators and battery sets as backup power sources, but also benefit from green energy. As revealed by the results herein, the use of elastic power utilization time intervals enables customers to pay less power price.http://dx.doi.org/10.1155/2014/942768 |
| spellingShingle | Chao-Rong Chen Ming-Jen Lan Optimal Demand Response of Smart Home with PV Generators International Journal of Photoenergy |
| title | Optimal Demand Response of Smart Home with PV Generators |
| title_full | Optimal Demand Response of Smart Home with PV Generators |
| title_fullStr | Optimal Demand Response of Smart Home with PV Generators |
| title_full_unstemmed | Optimal Demand Response of Smart Home with PV Generators |
| title_short | Optimal Demand Response of Smart Home with PV Generators |
| title_sort | optimal demand response of smart home with pv generators |
| url | http://dx.doi.org/10.1155/2014/942768 |
| work_keys_str_mv | AT chaorongchen optimaldemandresponseofsmarthomewithpvgenerators AT mingjenlan optimaldemandresponseofsmarthomewithpvgenerators |