An optimal real-time pricing algorithm under load uncertainty and user number variation in smart grid

2016 ◽  
Vol 30 (11) ◽  
pp. e3246
Author(s):  
Sahar Ahmadzadeh ◽  
Kun Yang
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Load Uncertainty ◽  
Number Variation ◽  
Real Time Pricing

scholarly journals A real-time pricing scheme considering load uncertainty and price competition in smart grid market

2020 ◽  
Vol 16 (2) ◽  
pp. 777-793
Author(s):  
Yeming Dai ◽  
◽  
Yan Gao ◽  
Hongwei Gao ◽  
Hongbo Zhu ◽  
...  
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Price Competition ◽  
Load Uncertainty ◽  
Pricing Scheme ◽  
Real Time Pricing ◽  
Grid Market

scholarly journals Distributed Real-Time Pricing Method Incorporating Load Uncertainty Based on Nonsmooth Equations for Smart Grid

2019 ◽  
Vol 2019 ◽  
pp. 1-18
Author(s):  
Hongjie Wang ◽  
Yan Gao
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Distributed Algorithm ◽  
Energy Supply ◽  
Supply And Demand ◽  
Nonsmooth Equations ◽  
Lagrangian Multipliers ◽  
Load Uncertainty ◽  
The Real ◽  
Real Time Pricing

The real-time pricing mechanism of smart grid based on demand response is an effective means to adjust the balance between energy supply and demand, whose implementation will impact the user's electricity consumption behaviour, the operation, and management in the future power systems. In this paper, we propose a complementarity algorithm to solve the real-time pricing of smart grid. The Karush–Kuhn–Tucker condition is considered in the social welfare maximisation model incorporating load uncertainty to transforming the model into a system of nonsmooth equations with Lagrangian multipliers, i.e., the shadow prices. The shadow price is used to determine the basic price of electricity. The system of nonsmooth equations is a complementarity problem, which enables us to study the existence and uniqueness of the equilibrium price and to design an online distributed algorithm to achieve the equilibrium between energy supply and demand. The proposed method is implemented in a simulation system composed of an energy provider and 100 users. Simulations results show that the proposed algorithm can motivate the users’ enthusiasm to participate in the demand side management and shift the peak loading. Furthermore, the proposed algorithm can improve the supply shortage. When compared with an online distributed algorithm based on the dual optimisation method, the proposed algorithm has a significantly lower running time and more accurate Lagrangian multipliers.

Real-time pricing scheme based on Stackelberg game in smart grid with multiple power retailers

2017 ◽  
Vol 260 ◽  
pp. 149-156 ◽  
Author(s):  
Yeming Dai ◽  
Yan Gao ◽  
Hongwei Gao ◽  
Hongbo Zhu
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Stackelberg Game ◽  
Pricing Scheme ◽  
Multiple Power ◽  
Real Time Pricing

Real-time pricing program in a smart grid environment

SIMULATION ◽  
2013 ◽  
Vol 89 (4) ◽  
pp. 513-523 ◽  
Author(s):  
Hassan Monsef ◽  
Bin Wu
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Grid Environment ◽  
Real Time Pricing

A novel multitype-users welfare equilibrium based real-time pricing in smart grid

2020 ◽  
Vol 108 ◽  
pp. 145-160 ◽  
Author(s):  
Jie Lin ◽  
Biao Xiao ◽  
Hanlin Zhang ◽  
Xinyu Yang ◽  
Peng Zhao
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Real Time Pricing
Sign in / Sign up

Export Citation Format

Share Document