Syahrul Ashikin Azmi
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Preferred name
Syahrul Ashikin Azmi
Official Name
Syahrul Ashikin, Azmi
Alternative Name
Azmi, Syahrul Ashikin Binti
Azmi, S. A.
Azmi, Syahrul A.
Affandi Saidi, S.
Main Affiliation
Scopus Author ID
54928364200
Researcher ID
X-2468-2019

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  • Publication
    A hybrid multi-objective Evolutionary Programming-Firefly Algorithm for different type of Distributed Generation in distribution system
    ( 2022-12-01)
    Noor Najwa Husnaini Mohammad Husni
    ;
    Siti Rafidah Abdul Rahim
    ;
    Mohd Rafi Adzman
    ;
    Hussain M.H.
    ;
    Musirin I.
    ;
    Syahrul Ashikin Azmi
    With the rise in electricity demand, various additional sources of generation, known as Distributed Generation (DG), have been introduced to boost the performance of power systems. A hybrid multi-objective Evolutionary Programming-Firefly Algorithm (MOEPFA) technique is presented in this study for solving multi-objective power system problems which are minimizing total active and reactive power losses and improving voltage profile while considering the cost of energy losses. This MOEPFA is developed by embedding Firefly Algorithm (FA) features into the conventional EP method. The analysis in this study considered DG with 4 different scenarios. Scenario 1 is the base case or without DG, scenario 2 is for DG with injected active power, scenario 3 is for DG injected with reactive power only and scenario 4 is for DG injected with both active and reactive power. The IEEE 69-bus test system is applied to validate the suggested technique.