Analysis of Data Aggregation Schemes for Smart Grid Communications
Journal Title: IOSR Journal of Mobile Computing & Application (IOSR-JMCA) - Year 2019, Vol 6, Issue 1
Abstract
lot has been said about different techniques of aggregating data in a smart grid communications. What is yet to be extensively explored is the concept of smart grid application in Nigeria's power sector. The smart grid can exchange data about current electricity status, pricing data and control commands in real-time. Due to these specific characteristics, the process of electricity’s generation, transmission and distribution in the smart grid environment can be managed efficiently and reliably. However, smart grid technology may not be right for all power networks due to requirement for substantial resources. This work has studied the data aggregation scheme in smart grid communication, which is characterized by the review of previous studies that have proposed data aggregation structures for smart grid communications, and was evaluated using the benefit of proposed data aggregation scheme and its impact on smart grid structure as well as its potential limitations. The usage of neural networks was employed for the detection, classification and location of faults on transmission lines. The method employed made usage of the phase voltages and phase currents (scaled with respect to their pre-fault values) as inputs to the neural networks. To simulate the various faults model and to obtain the training data set, MATLAB R2015a was used along with the SimPowerSystems toolbox in Simulink. The performance of the model was analyzed using Mean Square Error (MSE). It was observed that the configuration for the chosen ANN was 6 – 10 – 5 – 3 – 1 and the number of iterations required for the training process were 37. It can be seen that the mean square error in fault detection achieved by the end of the training process was 9.43e-5 and that the number of validation check fails were zero by the end of the training process. More so, the configuration for the chosen ANN for fault location was 6-7-1 with 5 iterations required for the training process.
Authors and Affiliations
Usman Mohammed, G. M. Wajiga, M. K. Ahmed
Keywords
Related Articles
- EP ID EP439906
- DOI 10.9790/0050-06010108.
- Views 99
- Downloads 0
Digitilisation of Indian Highways
It Is Based On Automatic Toll Collection Sysyem Wherein User Doesnot Have To Pay Toll By Cash, User Has To Purchase Etc Tag From Designated Counters And Get It Fixed On Vehicle, Tag Will Act Like A Prepaid Card Wherein U...
Analysis of Data Aggregation Schemes for Smart Grid Communications
lot has been said about different techniques of aggregating data in a smart grid communications. What is yet to be extensively explored is the concept of smart grid application in Nigeria's power sector. The smart grid c...
Design of visual statistics software for indoor game of indoor six person volleyball
In view of the fact that all kinds of data in volleyball match and the difficulty of statistics increase, it is supposed to develop a visualized software system that can accurately and synchronize statistics and analysis...
Monthly Scholarship: A study to analyze the spending and saving pattern of Graduates in Saudi Arabia
Graduating students are given stipend generously in Saudi Arabia. This research was conducted as it is observed that most of college students received a monthly stipend but had no money in their bank accounts. Most of th...
Role of Social Networking and Media in Political Awareness in Public
The aim of the study is to examine how social networking can influence political awareness. The review of background further depicts that body of literature require focusing upon the fact that social media plays an immea...