Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things
The ever increasing demand of energy efficiency and the strong awareness of environment have led to the enhanced interests in green Internet of things (IoTs). How to efficiently deliver power, especially, with the smart grid based on the stability of network becomes a challenge for green IoTs. There...
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2017-01-01
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Series: | Mobile Information Systems |
Online Access: | http://dx.doi.org/10.1155/2017/5039702 |
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doaj-4444a806c9c440348dd4d3788bffe04d2021-07-02T01:46:55ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2017-01-01201710.1155/2017/50397025039702Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of ThingsHuwei Chen0Hui Hui1Zhou Su2Dongfeng Fang3Yilong Hui4School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaDepartment of Electrical and Computer Engineering, University of Nebraska-Lincoln (UNL), Lincoln, NE, USASchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaThe ever increasing demand of energy efficiency and the strong awareness of environment have led to the enhanced interests in green Internet of things (IoTs). How to efficiently deliver power, especially, with the smart grid based on the stability of network becomes a challenge for green IoTs. Therefore, in this paper we present a novel real-time pricing strategy based on the network stability in the green IoTs enabled smart grid. Firstly, the outage is analyzed by considering the imbalance of power supply and demand as well as the load uncertainty. Secondly, the problem of power supply with multiple-retailers is formulated as a Stackelberg game, where the optimal price can be obtained with the maximal profit for retailers and users. Thirdly, the stability of price is analyzed under the constraints. In addition, simulation results show the efficiency of the proposed strategy.http://dx.doi.org/10.1155/2017/5039702 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Huwei Chen Hui Hui Zhou Su Dongfeng Fang Yilong Hui |
spellingShingle |
Huwei Chen Hui Hui Zhou Su Dongfeng Fang Yilong Hui Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things Mobile Information Systems |
author_facet |
Huwei Chen Hui Hui Zhou Su Dongfeng Fang Yilong Hui |
author_sort |
Huwei Chen |
title |
Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things |
title_short |
Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things |
title_full |
Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things |
title_fullStr |
Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things |
title_full_unstemmed |
Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things |
title_sort |
real-time pricing strategy based on the stability of smart grid for green internet of things |
publisher |
Hindawi Limited |
series |
Mobile Information Systems |
issn |
1574-017X 1875-905X |
publishDate |
2017-01-01 |
description |
The ever increasing demand of energy efficiency and the strong awareness of environment have led to the enhanced interests in green Internet of things (IoTs). How to efficiently deliver power, especially, with the smart grid based on the stability of network becomes a challenge for green IoTs. Therefore, in this paper we present a novel real-time pricing strategy based on the network stability in the green IoTs enabled smart grid. Firstly, the outage is analyzed by considering the imbalance of power supply and demand as well as the load uncertainty. Secondly, the problem of power supply with multiple-retailers is formulated as a Stackelberg game, where the optimal price can be obtained with the maximal profit for retailers and users. Thirdly, the stability of price is analyzed under the constraints. In addition, simulation results show the efficiency of the proposed strategy. |
url |
http://dx.doi.org/10.1155/2017/5039702 |
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