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

Journal
Journal of Engineering Research and Education (JERE)
ISSN
1823-2981
Date Issued
2022
Author(s)
Noor Najwa Husnaini Mohammad Husni
Universiti Malaysia Perlis
Siti Rafidah Abdul Rahim
Universiti Malaysia Perlis
Mohd Rafi Adzman
Universiti Malaysia Perlis
Muhammad Hatta Hussain
Universiti Malaysia Perlis
Ismail Musirin
Universiti Teknologi MARA
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.
Subjects
  • Cost of energy los...

  • Distributed generati...

  • Evolutionary program...

  • Firefly algorithm

  • Voltage profile impro...

File(s)
Cost of Energy Losses Analysis Using a Hybrid Evolutionary Programming-Firefly Algorithm.pdf (657.37 KB)
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3
Acquisition Date
Nov 19, 2024
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3
Acquisition Date
Nov 19, 2024
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