Perbandingan Metode Particle Swarm Optimization dan Firefly Algorithm untuk Optimasi Virtual Inertia Control Berbasis Capacitor Energy Storage

Alief Nur Aisyi Maulidhia; Mirza Ardiana; Mat Syai’in; Yudi Andika; Riko Satrya Fajar Jaelani Putra

doi:10.30595/jrre.v7i2.28429

Authors

Alief Nur Aisyi Maulidhia Politeknik Perkapalan Negeri Surabaya
Mirza Ardiana Politeknik Perkapalan Negeri Surabaya
Mat Syai’in Politeknik Perkapalan Negeri Surabaya
Yudi Andika Politeknik Perkapalan Negeri Surabaya
Riko Satrya Fajar Jaelani Putra Politeknik Perkapalan Negeri Surabaya

DOI:

https://doi.org/10.30595/jrre.v7i2.28429

Keywords:

Penyimpanan Energi Kapasitor, Particle Swarm Optimization, Virtual Inertia Controller, FireFly Optimization

Abstract

Peningkatan kebutuhan energi mendorong integrasi pembangkit energi terbarukan berbasis power electronics ke dalam sistem tenaga listrik. Berbeda dengan pembangkit konvensional berbasis mesin sinkron yang secara alami menyediakan inersia mekanis, sebagian besar pembangkit terbarukan tidak memiliki kontribusi inersia langsung terhadap sistem. Kondisi ini menyebabkan penurunan total inersia sistem tenaga listrik, yang berdampak pada melemahnya respons frekuensi serta meningkatnya risiko osilasi frekuensi akibat gangguan perubahan beban. Penelitian ini mengusulkan penerapan Virtual Inertia Controller (VIC) berbasis Capacitor Energy Storage (CES) sebagai solusi untuk meniru karakteristik inersia mesin sinkron guna meningkatkan stabilitas frekuensi sistem. Parameter VIC dioptimasi menggunakan Particle Swarm Optimization (PSO) dan Firefly Algorithm (FA). Analisis dilakukan untuk mengevaluasi pengaruh VIC terhadap respons osilasi frekuensi akibat gangguan beban. Hasil simulasi menunjukkan bahwa penerapan VIC teroptimasi mampu meningkatkan redaman sistem, mempercepat waktu tunak (settling time), serta menurunkan nilai Integral of Squared Error (ISE) secara signifikan. Perbandingan kedua metode optimasi menunjukkan bahwa FA memberikan performa sedikit lebih unggul dibandingkan PSO, terutama dalam menurunkan nilai ISE dan mempercepat respons dinamis sistem. Dengan demikian, VIC berbasis CES yang dioptimasi menggunakan FA terbukti lebih efektif dalam meningkatkan stabilitas frekuensi sistem tenaga listrik pasca gangguan.

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