A Study of Pricing Policy for Demand Response of Home Appliances in Smart Grid Based on M2M

2012 ◽  
Author(s):  
Safdar Ali ◽  
Rashid Ahmad ◽  
Dohyeun Kim
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Pricing Policy ◽  
Home Appliances ◽  
Grid Based

scholarly journals Design of load optimal control algorithm for smart grid based on demand response in different scenarios

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 1046-1055
Author(s):  
Chengliang Wang ◽  
Minjian Cao ◽  
Raquel Martínez Lucas
Keyword(s):  
Optimal Control ◽  
Smart Grid ◽  
Demand Response ◽  
Control Algorithm ◽  
Theory Model ◽  
Load Control ◽  
Load Curve ◽  
On Demand ◽  
Load Rate ◽  
Grid Based

Abstract The current game theory model method cannot accurately optimize the load control of smart grid, resulting in the problem of high load energy consumption when the smart grid is running. To address this problem, a load optimal control algorithm for smart grid based on demand response in different scenarios is proposed in this paper. The demand response of smart grid under different scenarios is described. Onthis basis, the load rate and actual load of smart grid are calculated by using the rated load of electrical appliances. The load classification of smart grid and the main factors affecting the load of smart grid are analyzed to complete the load distribution of smart grid. According to the evaluation function of smart grid, the number of load clusters is adjusted to calculate the load change rate. The trend of load curve of smart grid is analyzed to realize optimal load control of smart grid under different scenarios. The experimental results show that the proposed method has better control performance and higher accuracy through load control of smart grid.

scholarly journals A User-Oriented Pricing Design for Demand Response in Smart Grid

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Yanglin Zhou ◽  
Lin Cheng ◽  
Song Ci ◽  
Yang Yang ◽  
Shiqian Ma
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Stackelberg Game ◽  
Equilibrium Points ◽  
End Users ◽  
Pricing Policy ◽  
Utility Company ◽  
Pricing Scheme ◽  
High Satisfaction ◽  
Cooperative Relationship

Demand response (DR) programs are designed to affect the energy consumption behavior of end-users in smart grid. However, most existing pricing designs for DR programs ignore the influence of end-users’s diversity and personal preference. Thus, in this paper, we investigate an incentive pricing design based on the utility maximization rule with consideration of end-users’ preference and appliances’ operational patterns. In particular, the utility company determines the pricing policy by trading off the budget revenue and social obligation, while each end-user aims to maximize their own utility profits with high satisfaction level by scheduling multiclass appliances. We formulate the conflict and cooperative relationship between the utility company and end-users as a Stackelberg game, and the equilibrium points are obtained by the backward induction method, which exists and is unique. At the equilibrium, the utility company adopts real-time pricing (RTP) scheme to coordinate end-users to fulfill the benefit of themselves, i.e., under such price, end-users automatically maximize overall utility profits of the overall system. We propose a distributed algorithm and an adaptive pricing scheme for the utility company and end-users to jointly achieve the best performance of the entire system. Finally, extensive simulation results based on real operation data show the effectiveness of the proposed scheme.

Development of online demand response framework for smart grid infrastructure toward social welfare

2021 ◽  
Author(s):  
Marimuthu Krishna Paramathma ◽  
Durairaj Devaraj ◽  
Velusamy Agnes Idhaya Selvi ◽  
Murugesan Karuppasamypandiyan
Keyword(s):  
Smart Grid ◽  
Social Welfare ◽  
Demand Response ◽  
Grid Infrastructure
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