Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm

The main purpose of Economic Load Dispatch (ELD) is to determine the optimal output of generating units to meet the power demand at lowest possible cost and subjected to the operational constraints. Various ELD optimization methods have been developed in order to deal with the challenges of continuo...

Full description

Saved in:
Bibliographic Details
Main Author: Muhamad Salim, Muhamad Solahuddin
Format: Thesis
Language:English
English
English
Published: 2020
Subjects:
Online Access:http://eprints.uthm.edu.my/393/1/24p%20MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM.pdf
http://eprints.uthm.edu.my/393/2/MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/393/3/MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM%20WATERMARK.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uthm-ep.393
record_format uketd_dc
spelling my-uthm-ep.3932021-07-25T02:16:21Z Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm 2020-01 Muhamad Salim, Muhamad Solahuddin TK1001-1841 Production of electric energy or power. Powerplants. Central stations The main purpose of Economic Load Dispatch (ELD) is to determine the optimal output of generating units to meet the power demand at lowest possible cost and subjected to the operational constraints. Various ELD optimization methods have been developed in order to deal with the challenges of continuous and sustainable power at optimal cost. The deficiency of fossil fuel reserve and rapid increase of fuel prices to generate electricity has encouraged the use of Renewable Energy (RE). Furthermore, concerns over environmental pollution also become a factor to incorporate the RE and fossil fuel in generating electricity. This project propose the Firefly Algorithm (FA) to solve Economic and Emission Load Dispatch (EELD) problems that consists of photovoltaic systems. The FA algorithm is used to determine the optimal cost and emission levels of power generation. The test case considered in this project is Static Combined Economic and Emission Dispatch (SCEED) that been simulated for each hour. The test system with 6 units of thermal generator and 13 units of PV generator are used to optimize SCEED problem by using FA. The Weight Sum Method (WSM) approach is used to determine the best compromise solution among the cost and emission. It found that FA can provide the fast convergence in finding the global minima value. It can be concluded that FA can solve the problem of economic and emission dispatch accurately. 2020-01 Thesis http://eprints.uthm.edu.my/393/ http://eprints.uthm.edu.my/393/1/24p%20MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM.pdf text en public http://eprints.uthm.edu.my/393/2/MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/393/3/MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic TK1001-1841 Production of electric energy or power
Powerplants
Central stations
spellingShingle TK1001-1841 Production of electric energy or power
Powerplants
Central stations
Muhamad Salim, Muhamad Solahuddin
Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm
description The main purpose of Economic Load Dispatch (ELD) is to determine the optimal output of generating units to meet the power demand at lowest possible cost and subjected to the operational constraints. Various ELD optimization methods have been developed in order to deal with the challenges of continuous and sustainable power at optimal cost. The deficiency of fossil fuel reserve and rapid increase of fuel prices to generate electricity has encouraged the use of Renewable Energy (RE). Furthermore, concerns over environmental pollution also become a factor to incorporate the RE and fossil fuel in generating electricity. This project propose the Firefly Algorithm (FA) to solve Economic and Emission Load Dispatch (EELD) problems that consists of photovoltaic systems. The FA algorithm is used to determine the optimal cost and emission levels of power generation. The test case considered in this project is Static Combined Economic and Emission Dispatch (SCEED) that been simulated for each hour. The test system with 6 units of thermal generator and 13 units of PV generator are used to optimize SCEED problem by using FA. The Weight Sum Method (WSM) approach is used to determine the best compromise solution among the cost and emission. It found that FA can provide the fast convergence in finding the global minima value. It can be concluded that FA can solve the problem of economic and emission dispatch accurately.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Muhamad Salim, Muhamad Solahuddin
author_facet Muhamad Salim, Muhamad Solahuddin
author_sort Muhamad Salim, Muhamad Solahuddin
title Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm
title_short Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm
title_full Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm
title_fullStr Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm
title_full_unstemmed Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm
title_sort optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate 2020
url http://eprints.uthm.edu.my/393/1/24p%20MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM.pdf
http://eprints.uthm.edu.my/393/2/MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/393/3/MUHAMAD%20SOLAHUDDIN%20BIN%20MUHAMAD%20SALIM%20WATERMARK.pdf
_version_ 1747830599639367680