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Integrated Energy Marketing and Load Shedding Scheduling in Trans Amadi Port Harcourt using Fuzzy Logic
Subject area: Science,Engineering and Technology · Area of research: Load Shedding
Abstract
This study investigated the integrated energy marketing and load shedding scheduling at Trans-Amadi, Port Harcourt city, using fuzzy logic. This work presented an improved load shedding scheduling strategy based on the Fuzzy Logic. With the use of the Fuzzy Logic, there are no changes that need to be made to the power plants' output. The system evaluates the regions with their maximum load if any region requires additional electricity to meet the load requirement. Four objectives were made up for the aim of this study to guide it. Real load statistics from the Trans-Amadi transmission station were collected to highlight the impact of the load shedding effect. The data (conditions) analysis is accomplished with computer simulations, using the fuzzy logic toolbox in MATLAB.The single line diagram was implemented in simulink with fuzzy logic controller integrated, while the ETAB version 12.6 was used to simulate the Trans-Amadi 33kV Network distributed generation for the integrated energy marketing and load shedding. The study's findings show that the fuzzy logic controller performs better than a basic neural network model in predicting loads. According to the study, Nigerian energy management businesses should establish a plan for managing the electric power network utilizing artificial intelligence approaches such as the usage of fuzzy logic controllers for load shedding power management.
Keywords
Fuzzy logic, Matlab, Load, Load Shadding, Etap\B
References
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How to cite this paper
@article{1703305,
author = {Nnadi, Divine Chikwado, Prof. D. C. Idoniboyeobu, Dr. S. L. Braide},
title = {Integrated Energy Marketing and Load Shedding Scheduling in Trans Amadi Port Harcourt using Fuzzy Logic},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {5},
number = {9},
pages = {469-482},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703305.pdf},
abstract = {This study investigated the integrated energy marketing and load shedding scheduling at Trans-Amadi, Port Harcourt city, using fuzzy logic. This work presented an improved load shedding scheduling strategy based on the Fuzzy Logic. With the use of the Fuzzy Logic, there are no changes that need to be made to the power plants' output. The system evaluates the regions with their maximum load if any region requires additional electricity to meet the load requirement. Four objectives were made up for the aim of this study to guide it. Real load statistics from the Trans-Amadi transmission station were collected to highlight the impact of the load shedding effect. The data (conditions) analysis is accomplished with computer simulations, using the fuzzy logic toolbox in MATLAB.The single line diagram was implemented in simulink with fuzzy logic controller integrated, while the ETAB version 12.6 was used to simulate the Trans-Amadi 33kV Network distributed generation for the integrated energy marketing and load shedding. The study's findings show that the fuzzy logic controller performs better than a basic neural network model in predicting loads. According to the study, Nigerian energy management businesses should establish a plan for managing the electric power network utilizing artificial intelligence approaches such as the usage of fuzzy logic controllers for load shedding power management.},
keywords = {Fuzzy logic, Matlab, Load, Load Shadding, Etap\B},
month = {March},
}