scholarly journals Smart Grid Infrastructure for Efficient Power Consumption Using Real Time Pricing Algorithm

2018 ◽  
Vol Volume-2 (Issue-2) ◽  
pp. 1176-1179
Author(s):  
S. Varun Kumar ◽  
S. M Jayasurya ◽  
Keyword(s):  
Smart Grid ◽  
Power Consumption ◽  
Real Time ◽  
Grid Infrastructure ◽  
Real Time Pricing ◽  
Efficient Power

scholarly journals Power-Based Non-Intrusive Condition Monitoring for Terminal Device in Smart Grid

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3635 ◽  
Author(s):  
Guoming Zhang ◽  
Xiaoyu Ji ◽  
Yanjie Li ◽  
Wenyuan Xu
Keyword(s):  
Smart Grid ◽  
Power Consumption ◽  
Real Time ◽  
Condition Monitoring ◽  
Resource Constraints ◽  
Detection System ◽  
Stable Operation ◽  
Detection Accuracy ◽  
Monitoring Method ◽  
Dsp Processors

As a critical component in the smart grid, the Distribution Terminal Unit (DTU) dynamically adjusts the running status of the entire smart grid based on the collected electrical parameters to ensure the safe and stable operation of the smart grid. However, as a real-time embedded device, DTU has not only resource constraints but also specific requirements on real-time performance, thus, the traditional anomaly detection method cannot be deployed. To detect the tamper of the program running on DTU, we proposed a power-based non-intrusive condition monitoring method that collects and analyzes the power consumption of DTU using power sensors and machine learning (ML) techniques, the feasibility of this approach is that the power consumption is closely related to the executing code in CPUs, that is when the execution code is tampered with, the power consumption changes accordingly. To validate this idea, we set up a testbed based on DTU and simulated four types of imperceptible attacks that change the code running in ARM and DSP processors, respectively. We generate representative features and select lightweight ML algorithms to detect these attacks. We finally implemented the detection system on the windows and ubuntu platform and validated its effectiveness. The results show that the detection accuracy is up to 99.98% in a non-intrusive and lightweight way.

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