STRATEGI PENJADWALAN BATERAI CHARGING DAN DISCHARGING PADA SISTEM SMART GRID BERDASARKAN VARIASI BEBAN MENGGUNAKAN SIMULASI MATLAB

M Hidayatullah, Efendi S Wirateruna, Ngatmari Ngatmari

Sari


Penelitian ini membahas optimasi penjadwalan harging dan discharging baterai pada sistem smart grid berbasis energi terbarukan menggunakan metode Particle Swarm Optimization (PSO) dengan simulasi MATLAB. Sistem yang dikembangkan terdiri dari PLTS, Battery Energy Storage System (BESS), beban listrik, dan Energy Management System (EMS). Algoritma PSO digunakan untuk menentukan jadwal operasi baterai yang optimal berdasarkan profil beban dan ketersediaan energi. Hasil penelitian menunjukkan bahwa penerapan PSO mampu menurunkan biaya energi listrik sebesar 20,41%, mengurangi beban puncak sebesar 21,43%, serta menurunkan konsumsi energi dari grid sebesar 15,22%. Selain itu, profil State of Charge (SOC) baterai tetap berada pada batas operasi yang aman. Dengan demikian, metode PSO terbukti efektif dalam meningkatkan efisiensi dan kinerja sistem smart grid

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