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DC Field | Value | Language |
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dc.contributor.author | Noor Najwa Husnaini, Mohammad Husni | - |
dc.contributor.author | Mohd Rafi Adzman | - |
dc.contributor.author | Muhammad Hatta, Hussain | - |
dc.contributor.author | Ismail, Musirin | - |
dc.contributor | Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP) | en_US |
dc.contributor | Centre of Excellence for Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP) | en_US |
dc.contributor | School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA (UiTM) | en_US |
dc.creator | Siti Rafidah, Abdul Rahim | - |
dc.date.accessioned | 2022-11-08T02:34:27Z | - |
dc.date.available | 2022-11-08T02:34:27Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Journal of Engineering Research and Education, vol.14, 2022, pages 1-11 | en_US |
dc.identifier.issn | 1823-2981 (print) | - |
dc.identifier.issn | 2232-1098 (online) | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/76725 | - |
dc.description | Link to publisher's homepage at http://jere.unimap.edu.my | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject.other | Cost of Energy Losses | en_US |
dc.subject.other | Distributed Generation | en_US |
dc.subject.other | Evolutionary Programming | en_US |
dc.subject.other | Firefly Algorithm | en_US |
dc.subject.other | Voltage Profile Improvement | en_US |
dc.title | Cost of energy losses analysis using a hybrid evolutionary programming-firefly algorithm for distributed generation installation | en_US |
dc.type | Article | en_US |
dc.contributor.url | rafidah@unimap.edu.my | en_US |
Appears in Collections: | Journal of Engineering Research and Education (JERE) |
Files in This Item:
File | Description | Size | Format | |
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Cost of Energy Losses Analysis Using a Hybrid Evolutionary Programming-Firefly.pdf | Main article | 575.86 kB | Adobe PDF | View/Open |
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