Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network

In this paper, an optimal generation dispatch of the Ethiopian power system using a hybrid Genetic Algorithm-Hopfield Neural Network (GA-HNN) is presented to reduce recursive blackouts. Reformulation of generation dispatch for a power grid comprising biomass, hydro, solar, waste...

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Autores principales:	Shewit Tsegaye, Getachew Bekele
Formato:	article
Lenguaje:	EN
Publicado:	European Alliance for Innovation (EAI) 2022
Materias:	hopfield neural networks optimal generation dispatch genetic algorithm and hybrid hopfield neural network-genetic-algorithm ethiopian power system Science Q Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/6050e83a0a8b4eafb382150a8db4cd1f
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spelling	oai:doaj.org-article:6050e83a0a8b4eafb382150a8db4cd1f2021-11-30T11:07:32ZOptimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network2032-944X10.4108/eai.13-8-2021.170673https://doaj.org/article/6050e83a0a8b4eafb382150a8db4cd1f2022-01-01T00:00:00Zhttps://eudl.eu/pdf/10.4108/eai.13-8-2021.170673https://doaj.org/toc/2032-944XIn this paper, an optimal generation dispatch of the Ethiopian power system using a hybrid Genetic Algorithm-Hopfield Neural Network (GA-HNN) is presented to reduce recursive blackouts. Reformulation of generation dispatch for a power grid comprising biomass, hydro, solar, waste to energy plant, wind and geothermal have been carried out. Each of these sources requires a mathematical formulation that considers security limits and intermittency of renewables. Modelling and simulation was conducted on MATLAB. According to the simulation results obtained, it can be deduced that GA-HNN based optimal generation dispatch of Ethiopian power system is a key solution in connection to developments needed in the adoption and realization of smarter grids as it concurrently increases its security level and decreases total generation cost. Generally, reducing the number of recursive blackouts, decreasing generation cost, allocating optimal generation level, and reducing computation time are prospects of employing GA-HNN based OGD.Shewit TsegayeGetachew BekeleEuropean Alliance for Innovation (EAI)articlehopfield neural networks optimal generation dispatch genetic algorithm and hybrid hopfield neural network-genetic-algorithmethiopian power systemScienceQMathematicsQA1-939Electronic computers. Computer scienceQA75.5-76.95ENEAI Endorsed Transactions on Energy Web, Vol 9, Iss 37 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	hopfield neural networks optimal generation dispatch genetic algorithm and hybrid hopfield neural network-genetic-algorithm ethiopian power system Science Q Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
spellingShingle	hopfield neural networks optimal generation dispatch genetic algorithm and hybrid hopfield neural network-genetic-algorithm ethiopian power system Science Q Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95 Shewit Tsegaye Getachew Bekele Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network
description	In this paper, an optimal generation dispatch of the Ethiopian power system using a hybrid Genetic Algorithm-Hopfield Neural Network (GA-HNN) is presented to reduce recursive blackouts. Reformulation of generation dispatch for a power grid comprising biomass, hydro, solar, waste to energy plant, wind and geothermal have been carried out. Each of these sources requires a mathematical formulation that considers security limits and intermittency of renewables. Modelling and simulation was conducted on MATLAB. According to the simulation results obtained, it can be deduced that GA-HNN based optimal generation dispatch of Ethiopian power system is a key solution in connection to developments needed in the adoption and realization of smarter grids as it concurrently increases its security level and decreases total generation cost. Generally, reducing the number of recursive blackouts, decreasing generation cost, allocating optimal generation level, and reducing computation time are prospects of employing GA-HNN based OGD.
format	article
author	Shewit Tsegaye Getachew Bekele
author_facet	Shewit Tsegaye Getachew Bekele
author_sort	Shewit Tsegaye
title	Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network
title_short	Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network
title_full	Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network
title_fullStr	Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network
title_full_unstemmed	Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network
title_sort	optimal generation dispatch of ethiopian power system using hybrid genetic algorithm-hopfield neural network
publisher	European Alliance for Innovation (EAI)
publishDate	2022
url	https://doaj.org/article/6050e83a0a8b4eafb382150a8db4cd1f
work_keys_str_mv	AT shewittsegaye optimalgenerationdispatchofethiopianpowersystemusinghybridgeneticalgorithmhopfieldneuralnetwork AT getachewbekele optimalgenerationdispatchofethiopianpowersystemusinghybridgeneticalgorithmhopfieldneuralnetwork
_version_	1718406685550182400

Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network

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