A network model for the real-time communications of a smart grid prototype

2016 ◽  
Vol 59 ◽  
pp. 264-273 ◽  
Author(s):  
Ziyuan Cai ◽  
Ming Yu ◽  
Michael Steurer ◽  
Hui Li ◽  
Yizhou Dong
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Network Model ◽  
The Real

scholarly journals Pedestrian detection based on improved LeNet-5 convolutional neural network

2019 ◽  
Vol 13 ◽  
pp. 174830261987360 ◽  
Author(s):  
Chuan-Wei Zhang ◽  
Meng-Yue Yang ◽  
Hong-Jun Zeng ◽  
Jian-Ping Wen
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Real Time ◽  
Network Model ◽  
Pedestrian Detection ◽  
The Real ◽  
Better Than

In this article, according to the real-time and accuracy requirements of advanced vehicle-assisted driving in pedestrian detection, an improved LeNet-5 convolutional neural network is proposed. Firstly, the structure of LeNet-5 network model is analyzed, and the structure and parameters of the network are improved and optimized on the basis of this network to get a new LeNet network model, and then it is used to detect pedestrians. Finally, the miss rate of the improved LeNet convolutional neural network is found to be 25% by contrast and analysis. The experiment proves that this method is better than SA-Fast R-CNN and classical LeNet-5 CNN algorithm.

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.

scholarly journals Real time control and monitoring of grid power systems using cloud computing

2019 ◽  
Vol 9 (2) ◽  
pp. 941 ◽  
Author(s):  
Nachiket Kulkarni ◽  
S. V. N. L. Lalitha ◽  
Sanjay A. Deokar
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power System ◽  
Real Time ◽  
Monitoring And Control ◽  
Real Time Control ◽  
Grid Systems ◽  
The Real ◽  
Time Control ◽  
And Control

The use of grid power systems based on the combinations of various electrical networks, information technology, and communication layers called as Smart Grid systems. The technique of smart grid suppressed the problems faced by conventional grid systems such as inefficient energy management, improper control actions, grid faults, human errors, etc. The recent research on smart grid provides the approach for the real-time control and monitoring of grid power systems based on bidirectional communications. However, the smart grid is yet to improve regarding efficiency, energy management, reliability, and cost-effectiveness by considering its real-time implementation. In this paper, we present the real-time design of efficient monitoring and control of grid power system using the remote cloud server. We utilized the remote cloud server to fetch, monitor and control the real-time power system data to improve the universal control and response time. The proper hardware panel designed and fabricated to establish the connection with the grid as well as remote cloud users. The authenticated cloud users are provisioned to access and control the grid power system from anywhere securely. For the user authentication, we proposed the novel approach to secure the complete smart grid system. Finally, we demonstrated the effectiveness of real-time monitoring and control of the grid power method with the use of structure of practical framework.

scholarly journals Research on Defensive Strategy of Real-Time Price Attack Based on Multiperson Zero-Determinant

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Zhuoqun Xia ◽  
Zhenwei Fang ◽  
Fengfei Zou ◽  
Jin Wang ◽  
Arun Kumar Sangaiah
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Transmission Lines ◽  
Power Transmission ◽  
Power Transmission Lines ◽  
Defensive Strategy ◽  
The Real ◽  
Load Demand ◽  
Home Energy Management ◽  
Time Price

The smart grid solves the growing load demand of electrical customers through two-way real-time communication of electricity supply and demand sides and home energy management system (HEMS). However, these technical features also bring network security risks to the real-time price signal of the smart grid. The real-time price attack (RTPA) can maliciously raise the real-time price in smart meter, resulting in an increase in electrical customers load demand, causing the extensive damage to the power transmission lines due to overload. In this paper, we based on the behavioral relationship between load demand of electrical customers and real-time price of electricity suppliers (ES), defined the game relationship between RTPA, ES, and electrical customers, established a price elasticity of electricity demand (PEED) model, and proposed a defensive strategy of real-time price attack based on multiperson zero-determinant strategy (MPZDS). The experimental results show that the combination of MPZDS to some extent cut the expected load demand of electrical customers and protect the safety of power transmission lines.

scholarly journals Event-Network Model of Distructive Processes for the Real-Time Risk-Oriented DSS

2018 ◽  
pp. 71-83
Author(s):  
Yurij M. Bardachov ◽  
◽  
Maryna V. Zharikova ◽  
Volodymyr G. Sherstju ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
Network Model ◽  
The Real

scholarly journals Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4599 ◽  
Author(s):  
Kang ◽  
Chen
Keyword(s):  
Real Time ◽  
Network Model ◽  
Network Architecture ◽  
Vision System ◽  
Computation Time ◽  
Semantic Segmentation ◽  
Visual Sensor ◽  
The Real ◽  
Computation Efficiency ◽  
Feature Pyramid

Autonomous harvesting shows a promising prospect in the future development of theagriculture industry, while the vision system is one of the most challenging components in theautonomous harvesting technologies. This work proposes a multi-function network to perform thereal-time detection and semantic segmentation of apples and branches in orchard environments byusing the visual sensor. The developed detection and segmentation network utilises the atrous spatialpyramid pooling and the gate feature pyramid network to enhance feature extraction ability of thenetwork. To improve the real-time computation performance of the network model, a lightweightbackbone network based on the residual network architecture is developed. From the experimentalresults, the detection and segmentation network with ResNet-101 backbone outperformed on thedetection and segmentation tasks, achieving an F1 score of 0.832 on the detection of apples and 87.6%and 77.2% on the semantic segmentation of apples and branches, respectively. The network modelwith lightweight backbone showed the best computation efficiency in the results. It achieved an F1score of 0.827 on the detection of apples and 86.5% and 75.7% on the segmentation of apples andbranches, respectively. The weights size and computation time of the network model with lightweightbackbone were 12.8 M and 32 ms, respectively. The experimental results show that the detection andsegmentation network can effectively perform the real-time detection and segmentation of applesand branches in orchards.

A cosh-based smoothing Newton algorithm for the real-time pricing problem in smart grid

2022 ◽  
Vol 135 ◽  
pp. 107296
Author(s):  
Yuanyuan Li ◽  
Junxiang Li ◽  
Zhensheng Yu ◽  
Jingxin Dong ◽  
Tingting Zhou
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
The Real ◽  
Smoothing Newton Algorithm ◽  
Newton Algorithm ◽  
Real Time Pricing
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