scholarly journals CoSimulating Communication Networks and Electrical System for Performance Evaluation in Smart Grid

2018 ◽  
Vol 8 (1) ◽  
pp. 85 ◽  
Author(s):  
Hwantae Kim ◽  
Kangho Kim ◽  
Seongjoon Park ◽  
Hyunsoon Kim ◽  
Hwangnam Kim
2016 ◽  
Vol 16 (1) ◽  
pp. 39-56
Author(s):  
Min Xiang ◽  
Haolin Huang ◽  
Chuan He ◽  
Rui Li ◽  
Lingkang Zeng

Abstract Different communication networks are used in the different application environment of the smart grid. So, how to effectively select the communication networks with the optimal comprehensive performance is an important issue for the power management corporations. A novel comprehensive performance evaluation based on Exponential Scale Analytic Hierarchy Process (ESAHP) and Grey Analytic Hierarchy Process (GAHP) for the communication networks selection is proposed in the electricity information acquisition system. The ESAHP is used to calculate the weight of each communication performance index and the economic performance index, and the GAHP is adopted to evaluate the economic cost of the different communication modes. The optimal comprehensive communication model can be selected by comprehensively comparing the communication performance and the economic cost. The test results show that the assessment model can effectively evaluate the comprehensive performance of the different communication networks selection in the electricity information acquisition system of the smart grid.


2014 ◽  
Vol 513-517 ◽  
pp. 772-776
Author(s):  
Chen Wang ◽  
Hong Ai ◽  
Lie Wu ◽  
Yun Yang

The smart grid that the next-generation electric power system is studied intensively as a promising solution for energy crisis. One important feature of the smart grid is the integration of high-speed, reliable and secure data communication networks to manage the complex power systems effectively and intelligently. The goal of smart grid is to achieve the security of operation, economic efficient and environmental friendly. To achieve this goal, we proposed a fine-grained access control model for smart grid. In order to improve the security of smart grid, an access-trust-degree algorithm is proposed to evaluate the reliability of the user who want to access to the smart grid.


2021 ◽  
Author(s):  
Mohammad S. Yazdi

Smart grid is a utility network, with advanced information and communications technologies for improved control, efficiency, reliability and safety in electric power distribution and management. Smart grid communication network consists of three interconnected communication networks: home area network (HAN), neighborhood area network (NAN), and wide area network (WAN). Our thesis is focused on NAN. The information flow in smart grid communication networks has different Quality of Service (QoS) requirements in terms of packet loss rate, throughput, and latency. By deploying QoS mechanisms, we can get the real time feedbacks which can be used to supply electricity based on need, thus reducing the wastage of electricity. First, we conducted Opnet simulations for NAN. We evaluated two technologies, Zigbee and wireless local area network (WLAN), for NAN. The simulation results demonstrate that latency can be reduced for the data flow with a higher priority with an appropriate QoS mechanism. Next, we proposed an optimal resource allocation scheme to reduce delay and provide differentiated services, in terms of latency, to different classes of traffic in the NAN. The problem is formulated into a linear programming (LP) problem, which can be solved efficiently. The simulation results and comparison demonstrates that the proposed resource allocation scheme can provide overall lower latency of the various data flows. Our method also lowers the delay of the data flow with a higher priority.


Sign in / Sign up

Export Citation Format

Share Document