scholarly journals Research on Real-time Pricing Strategy of Smart Grid Based on Behavioral Economics

Author(s):  
Leping Yan ◽  
Yan Li ◽  
Tianqi Xu ◽  
Shouda Wang ◽  
Xin Zhang
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Huwei Chen ◽  
Hui Hui ◽  
Zhou Su ◽  
Dongfeng Fang ◽  
Yilong Hui

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.


2015 ◽  
Vol 3 (4) ◽  
pp. 348-356 ◽  
Author(s):  
Yeming Dai ◽  
Yan Gao

AbstractThe real-time pricing plays an important role in demand-side management for smart grid. In this paper, we study real-time pricing strategy of electricity retailers by means of game theory in smart grid. The retailers are in the game situation where there is one leader with multi-followers. We propose a real-time electricity demand function and analyze the interactions between the retailers, then obtain its equilibrium solution. The analysis and simulation results of the equilibrium solution show the effectiveness of the proposed method.


2017 ◽  
Vol 260 ◽  
pp. 149-156 ◽  
Author(s):  
Yeming Dai ◽  
Yan Gao ◽  
Hongwei Gao ◽  
Hongbo Zhu

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