Decentralized Demand Optimization Using Real-time Pricing Strategy and Chattering Phenomena

2021 ◽  
Vol 57 (3) ◽  
pp. 145-155
Author(s):  
Kenji HIRATA ◽  
Shoyo MAENO ◽  
Takahiro FUJISAWA
Keyword(s):  
Real Time ◽  
Pricing Strategy ◽  
Real Time Pricing

scholarly journals Optimal Computing Resource Management Based on Utility Maximization in Mobile Crowdsourcing

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Haoyu Meng ◽  
Ying Zhu ◽  
Ruilong Deng
Keyword(s):  
Resource Management ◽  
Real Time ◽  
Distributed Algorithm ◽  
Pricing Strategy ◽  
Mobile Crowdsourcing ◽  
Computing Resource ◽  
Time Interaction ◽  
Best Response ◽  
Real Time Pricing ◽  
Service Paradigm

Mobile crowdsourcing, as an emerging service paradigm, enables the computing resource requestor (CRR) to outsource computation tasks to each computing resource provider (CRP). Considering the importance of pricing as an essential incentive to coordinate the real-time interaction among the CRR and CRPs, in this paper, we propose an optimal real-time pricing strategy for computing resource management in mobile crowdsourcing. Firstly, we analytically model the CRR and CRPs behaviors in form of carefully selected utility and cost functions, based on concepts from microeconomics. Secondly, we propose a distributed algorithm through the exchange of control messages, which contain the information of computing resource demand/supply and real-time prices. We show that there exist real-time prices that can align individual optimality with systematic optimality. Finally, we also take account of the interaction among CRPs and formulate the computing resource management as a game with Nash equilibrium achievable via best response. Simulation results demonstrate that the proposed distributed algorithm can potentially benefit both the CRR and CRPs. The coordinator in mobile crowdsourcing can thus use the optimal real-time pricing strategy to manage computing resources towards the benefit of the overall system.

scholarly journals Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Huwei Chen ◽  
Hui Hui ◽  
Zhou Su ◽  
Dongfeng Fang ◽  
Yilong Hui
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Real Time ◽  
Power Supply ◽  
Stackelberg Game ◽  
Supply And Demand ◽  
Pricing Strategy ◽  
Maximal Profit ◽  
Real Time Pricing ◽  
The Stability

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.

scholarly journals Decentralized Control of Inverter Networks for PV Systems using Real-time Pricing Strategy

2016 ◽  
Vol 29 (4) ◽  
pp. 182-191
Author(s):  
Hikaru Akutsu ◽  
Kenji Hirata ◽  
Akihiro Ohori ◽  
Nobuyuki Hattori ◽  
Yoshito Ohta
Keyword(s):  
Real Time ◽  
Decentralized Control ◽  
Pricing Strategy ◽  
Pv Systems ◽  
Real Time Pricing

Decentralized Voltage Regulation for PV Generation Plants Using Real-Time Pricing Strategy

2017 ◽  
Vol 64 (6) ◽  
pp. 5222-5232 ◽  
Author(s):  
Kenji Hirata ◽  
Hikaru Akutsu ◽  
Akihiro Ohori ◽  
Nobuyuki Hattori ◽  
Yoshito Ohta
Keyword(s):  
Real Time ◽  
Voltage Regulation ◽  
Pricing Strategy ◽  
Real Time Pricing ◽  
Pv Generation
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