scholarly journals DEVELOPMENT OF AN EFFICIENT SMART GRID WITH ERROR CONTROL ALGORITHM

2019 ◽  
Vol 01 (01) ◽  
pp. 1-11
Author(s):  
Rayudu Mannam
Keyword(s):  
Smart Grid ◽  
Control Algorithm ◽  
Error Control ◽  
Control Method ◽  
Power Grid ◽  
Path Loss ◽  
Wireless Sensor ◽  
Aging Infrastructure ◽  
Computer Automation ◽  
Communication Path

The in capabilities of the current power grid in distributing monitoring and managing due to the rising needs in the energy consumption and the aging infrastructure of the prevailing power grid, has led to the emergence of the grid that is smart in managing distributing and monitoring . The smart grid incorporating controls, computer, automation along innovative technologies and tools are able to provide an enhanced performance by being extra proficient, secure, reliable and greener. The smart grid also provides with the two way communication between the users and the utilities on the terms of electricity and information with the usage being completely monitored using the wireless sensor networks. The communication between the user and the utilities are often affected due to the noise, fading and path loss etc. experienced by the communication path. So the paper proffers an error control method that is adaptive to the changing behavior of the communication channels to make have an error less communication making the smart grid efficient. The result obtained based on the bit error rate, delay and the throughput evince the capability of the proposed scheme.

An Energy-Balance Based Distributed Topology Control Algorithm for Wireless Sensor Networks

2012 ◽  
Vol 490-495 ◽  
pp. 1392-1396 ◽  
Author(s):  
Chu Hang Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Topology Control ◽  
Control Algorithm ◽  
Path Loss ◽  
Network Connectivity ◽  
Premature Death ◽  
Residual Energy ◽  
Wireless Sensor

Topology control is an efficient approach which can reduce energy consumption for wireless sensor networks, and the current algorithms mostly focus on reducing the nodes’ energy consumption by power adjusting, but pay little attention to balance energy consumption of the whole network, which results in premature death of many nodes. Thus, a distributed topology control algorithm based on path-loss and residual energy (PRTC) is designed in this paper. This algorithm not only maintains the least loss links between nodes but also balances the energy consumption of the network. The simulation results show that the topology constructed by PRTC can preserve network connectivity as well as extend the lifetime of the network and provide good performance of energy consumption.

V2G Technology for Electric Vehicles

2014 ◽  
Vol 641-642 ◽  
pp. 1256-1259
Author(s):  
Xue Song Zhou ◽  
Xiao Li Kong ◽  
You Jie Ma
Keyword(s):  
Smart Grid ◽  
Vector Control ◽  
Electric Vehicles ◽  
Control Method ◽  
Power Grid ◽  
Rotating Frame ◽  
Space Vector ◽  
Voltage Space Vector

V2G technology is an important part of the smart grid,which realizes the power inter-transformation between Power Grid and electric vehicles [1]. V2G technology is introduced and the structure of charging and discharging system in V2G technology is analyzed [2]. Under synchronous rotating frame, the combination current-controlled and Voltage space vector control method is adopted, which carries out the power inter-transformation between Power Grid and electric vehicles [3].

scholarly journals Performance Analysis of Distributed Estimation for Data Fusion Using a Statistical Approach in Smart Grid Noisy Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 567 ◽  
Author(s):  
Chatura Seneviratne ◽  
Patikiri Arachchige Don Shehan Nilmantha Wijesekara ◽  
Henry Leung
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grid ◽  
Communication Networks ◽  
Smart Grids ◽  
Measurement Errors ◽  
Power Grid ◽  
Distributed Estimation ◽  
Wireless Sensor ◽  
Grid Infrastructures

Internet of Things (IoT) can significantly enhance various aspects of today’s electric power grid infrastructures for making reliable, efficient, and safe next-generation Smart Grids (SGs). However, harsh and complex power grid infrastructures and environments reduce the accuracy of the information propagating through IoT platforms. In particularly, information is corrupted due to the measurement errors, quantization errors, and transmission errors. This leads to major system failures and instabilities in power grids. Redundant information measurements and retransmissions are traditionally used to eliminate the errors in noisy communication networks. However, these techniques consume excessive resources such as energy and channel capacity and increase network latency. Therefore, we propose a novel statistical information fusion method not only for structural chain and tree-based sensor networks, but also for unstructured bidirectional graph noisy wireless sensor networks in SG environments. We evaluate the accuracy, energy savings, fusion complexity, and latency of the proposed method by comparing the said parameters with several distributed estimation algorithms using extensive simulations proposing it for several SG applications. Results prove that the overall performance of the proposed method outperforms other fusion techniques for all considered networks. Under Smart Grid communication environments, the proposed method guarantees for best performance in all fusion accuracy, complexity and energy consumption. Analytical upper bounds for the variance of the final aggregated value at the sink node for structured networks are also derived by considering all major errors.

A Survey on Communication Technology of Smart Grid

2013 ◽  
Vol 749 ◽  
pp. 603-605
Author(s):  
You Jie Ma ◽  
Pan Long Jin ◽  
Xue Song Zhou
Keyword(s):  
Smart Grid ◽  
Communication Technology ◽  
Technology Use ◽  
High Speed ◽  
Control Method ◽  
Power Grid ◽  
Monitoring And Control ◽  
It Use ◽  
Electricity Grid ◽  
And Control

Modern power grid is an important part of national energy strategy. Smart grid is one of the directions to modernize the electricity grid. Smart grid is the intelligent of power system, It is also known as the grid 2.0.It is based on integrated, high-speed bidirectional communication network ,It use the advanced sensor and measuring technology, use advanced equipment and control method to realize the application of the power grid reliability, safety, economic, efficient, environmental friendly and safety. High speed, bidirectional, real-time, and integrated communication system is the foundation and key point when monitoring and control smart grid. So How to improve the communication technology is very important.

scholarly journals Internet-of-Things-Assisted Smart System 4.0 Framework Using Simulated Routing Procedures

2020 ◽  
Vol 12 (15) ◽  
pp. 6119
Author(s):  
Jinglei Su ◽  
Xue Chu ◽  
Seifedine Kadry ◽  
Rajkumar S
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Electromagnetic Interference ◽  
Large Scale ◽  
Power Grid ◽  
Wireless Sensor ◽  
Time Behavior ◽  
Network Efficiency ◽  
Successful Operation ◽  
Smart System

The environment and energy are two important issues in the current century. The development of modern society is closely linked to energy and the environment. Internet of Things (IoT) and Wireless Sensor Networks (WSNs) have recently been developed substantially to contribute to the fourth transformation of the power grid, namely the smart grid. WSNs have the potential to improve power grid reliability via cable replacements, fault-tolerance features, large-scale protection, versatility to deploy, and cost savings in the smart grid environment. Moreover, because of equipment noise, dust heat, electromagnetic interference, multipath effects, and fading, current WSNs are making it very difficult to provide effective communication for the smart grid (SG) environment, in which WSN work is more difficult. For the smart system 4.0 framework, a highly reliable communication network based on the WSN is critically important for the successful operation of electricity grids in the next decade. To solve the above problem, a Robust Bio-Dynamic Stimulated Routing Procedure (RDSRP) has been proposed based on the real-time behavior of a new Hybrid Bird Optimizer (HBO) model. The presented innovative research and development is a small yet important aspect of continuous critical activities that address one of our society’s major challenges and that reverse the dangerous trends of environmental destruction. This study explores some of the most recent advances in this area, including energy efficiency and energy harvesting, which are expected to have a significant impact on green topics under smart systems in the Internet of things. The experimental results show that the proposed distributed system suggestively enhances network efficiency and reduces the transmission of excess packets for wireless sensor network-based smart grid applications.

scholarly journals One Unequal Error Control Method for Telemetric Data Transmission

2011 ◽  
Vol 62 (3) ◽  
pp. 158-162 ◽  
Author(s):  
Tomáš Hirner ◽  
Peter Farkaš ◽  
Srečko Krile
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Transmission ◽  
Error Control ◽  
Quality Evaluation ◽  
Control Method ◽  
The Other ◽  
Evaluation Criterion ◽  
Wireless Sensor ◽  
Transmission Of Information

One Unequal Error Control Method for Telemetric Data TransmissionIn wireless sensor networks (WSN) it is necessary to use very simple codes for transmission of information since the nodes in these networks have usually only limited energy available not only for transmission but also for processing. On the other hand, common codes do not usually take into account the fact that in case of telemetric information the weights of individual orders are not equal and errors in different orders cause different deviations from correct value. In this contribution, new very simple codes for transmission of telemetric information on WSN will be presented, which take into account the above-mentioned requirements. Resulting square deviation will be used as a quality evaluation criterion.

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