Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation

Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation

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Main Authors: Siti Rafidah, Abdul Rahim, Noor Najwa Husnaini, Mohammad Husni, Mohd Rafi Adzman, Muhammad Hatta, Hussain, Ismail, Musirin
Other Authors: rafidah@unimap.edu.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
Cost of Energy Losses
Distributed Generation
Evolutionary Programming
Firefly Algorithm
Voltage Profile Improvement
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76725
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-767252022-11-08T02:34:27Z Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation Siti Rafidah, Abdul Rahim Noor Najwa Husnaini, Mohammad Husni Mohd Rafi Adzman Muhammad Hatta, Hussain Ismail, Musirin rafidah@unimap.edu.my Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP) Centre of Excellence for Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP) School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA (UiTM) Cost of Energy Losses Distributed Generation Evolutionary Programming Firefly Algorithm Voltage Profile Improvement Link to publisher's homepage at http://jere.unimap.edu.my This paper presents the Hybrid Evolutionary Programming-Firefly Algorithm (EPFA) technique for the cost of energy losses analysis of distributed generation (DG). In this study, EPFA is developed to determine the optimal size of DG while considering the system’s energy losses. EPFA is developed based on embedded Firefly Algorithm (FA) properties into the classical EP technique. The objective of this study was to reduce the cost of energy losses while increasing the voltage profile and minimizing distribution system losses between the different operational strategies and types of DG. In this study, the analysis was done by considering DG type 1 and DG type 2. The proposed technique was tested using the IEEE 69- bus test system. In terms of economic concerns, power system planners can use the information acquired for utility planning to determine the right location and capacity of DG. Finally, the proposed method can determine the appropriate DG sizing while reducing the cost of energy losses and total losses in the system, based on the simulation results. 2022-11-08T02:34:27Z 2022-11-08T02:34:27Z 2022 Article Journal of Engineering Research and Education, vol.14, 2022, pages 1-11 1823-2981 (print) 2232-1098 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76725 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Cost of Energy Losses
Distributed Generation
Evolutionary Programming
Firefly Algorithm
Voltage Profile Improvement
spellingShingle Cost of Energy Losses
Distributed Generation
Evolutionary Programming
Firefly Algorithm
Voltage Profile Improvement
Siti Rafidah, Abdul Rahim
Noor Najwa Husnaini, Mohammad Husni
Mohd Rafi Adzman
Muhammad Hatta, Hussain
Ismail, Musirin
Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation
description Link to publisher's homepage at http://jere.unimap.edu.my
author2 rafidah@unimap.edu.my
author_facet rafidah@unimap.edu.my
Siti Rafidah, Abdul Rahim
Noor Najwa Husnaini, Mohammad Husni
Mohd Rafi Adzman
Muhammad Hatta, Hussain
Ismail, Musirin
format Article
author Siti Rafidah, Abdul Rahim
Noor Najwa Husnaini, Mohammad Husni
Mohd Rafi Adzman
Muhammad Hatta, Hussain
Ismail, Musirin
author_sort Siti Rafidah, Abdul Rahim
title Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation
title_short Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation
title_full Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation
title_fullStr Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation
title_full_unstemmed Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation
title_sort cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76725
_version_ 1751537963659952128

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