Simulation for the Demand Response program in Smart Grid
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 101 === Demand Response (DR) program allows utilities to inform customers about the information through the devices from customer side. For utilities, DR program reduces the cost of generation electricity during peak time by offering the profit to customers. Such dev...
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ndltd-TW-101NCKU56520932015-10-13T22:51:45Z http://ndltd.ncl.edu.tw/handle/60062462460799236878 Simulation for the Demand Response program in Smart Grid 智慧電網電力需求回應之模擬探討 Ya-LiHuang 黃雅莉 碩士 國立成功大學 電腦與通信工程研究所 101 Demand Response (DR) program allows utilities to inform customers about the information through the devices from customer side. For utilities, DR program reduces the cost of generation electricity during peak time by offering the profit to customers. Such devices include load control devices, smart thermostats and home energy consoles. DR program provides pricing information and monetary incentives. Expect to create a Win-Win situation for customers and utilities. We devise a deferred mechanism in SG (Smart Grid) which can shift demand to non-peak time. Then, we develop a simulation model to evaluate the mechanism. Finally, we use simulation experiments to discuss the performances in detail of each figure. In this thesis, with this mechanism reduces generation cost of utilities during peak time and also customers can spend less price to use electricity. Sok-Ian Sou 蘇淑茵 2013 學位論文 ; thesis 72 en_US |
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碩士 === 國立成功大學 === 電腦與通信工程研究所 === 101 === Demand Response (DR) program allows utilities to inform customers about the information through the devices from customer side. For utilities, DR program reduces the cost of generation electricity during peak time by offering the profit to customers. Such devices include load control devices, smart thermostats and home energy consoles. DR program provides pricing information and monetary incentives.
Expect to create a Win-Win situation for customers and utilities. We devise a deferred mechanism in SG (Smart Grid) which can shift demand to non-peak time. Then, we develop a simulation model to evaluate the mechanism. Finally, we use simulation experiments to discuss the performances in detail of each figure. In this thesis, with this mechanism reduces generation cost of utilities during peak time and also customers can spend less price to use electricity.
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Sok-Ian Sou |
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Sok-Ian Sou Ya-LiHuang 黃雅莉 |
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Ya-LiHuang 黃雅莉 |
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Ya-LiHuang 黃雅莉 Simulation for the Demand Response program in Smart Grid |
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Ya-LiHuang |
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Simulation for the Demand Response program in Smart Grid |
title_short |
Simulation for the Demand Response program in Smart Grid |
title_full |
Simulation for the Demand Response program in Smart Grid |
title_fullStr |
Simulation for the Demand Response program in Smart Grid |
title_full_unstemmed |
Simulation for the Demand Response program in Smart Grid |
title_sort |
simulation for the demand response program in smart grid |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/60062462460799236878 |
work_keys_str_mv |
AT yalihuang simulationforthedemandresponseprograminsmartgrid AT huángyǎlì simulationforthedemandresponseprograminsmartgrid AT yalihuang zhìhuìdiànwǎngdiànlìxūqiúhuíyīngzhīmónǐtàntǎo AT huángyǎlì zhìhuìdiànwǎngdiànlìxūqiúhuíyīngzhīmónǐtàntǎo |
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