Research Article
Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network
@ARTICLE{10.4108/eai.13-8-2021.170673, author={Shewit Tsegaye and Getachew Bekele}, title={Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network}, journal={EAI Endorsed Transactions on Energy Web}, volume={9}, number={37}, publisher={EAI}, journal_a={EW}, year={2021}, month={8}, keywords={Hopfield Neural Networks, Optimal Generation Dispatch, Genetic Algorithm, and Hybrid Hopfield Neural Network-Genetic-Algorithm, Ethiopian Power system}, doi={10.4108/eai.13-8-2021.170673} }- Shewit Tsegaye
Getachew Bekele
Year: 2021
Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network
EW
EAI
DOI: 10.4108/eai.13-8-2021.170673
Abstract
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.
Copyright © 2021 Shewit Tsegaye et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
