Simulasi Skema Kontrol Manajemen Daya Dan Optimasi Horse Herd Algorithm Pada System Pv-Baterai-Superkapasitor Terkoneksi Grid

Darsa, Ahmad (2026) Simulasi Skema Kontrol Manajemen Daya Dan Optimasi Horse Herd Algorithm Pada System Pv-Baterai-Superkapasitor Terkoneksi Grid. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Meningkatnya penetrasi sistem fotovoltaik (PV) pada jaringan listrik menimbulkan tantangan akibat sifat pembangkitannya yang intermiten dan bergantung pada kondisi cuaca. Fluktuasi iradiasi, seperti bayangan parsial dan ketidakseragaman penyinaran, dapat menurunkan stabilitas sistem dan pemanfaatan energi PV. Berbagai penelitian telah mengembangkan algoritma Maximum Power Point Tracking (MPPT) dan strategi manajemen daya, namun integrasi keduanya pada sistem penyimpanan energi hibrida (Hybrid Energy Storage System/HESS) berbasis baterai–superkapasitor yang terhubung ke jaringan masih terbatas. Penelitian ini mengevaluasi kinerja integrasi Horse Herd Optimization Algorithm (HOA)-based MPPT dan Power Management Algorithm (PMA) berbasis aturan pada sistem PV–baterai–superkapasitor terhubung ke jaringan satu fasa. Sistem terdiri atas PV 1.879,84 W, baterai Lithium-Ion 300 V/48 Ah, superkapasitor 99,5 F/300 V, konverter DC–DC dua arah, dan inverter grid-tied yang dimodelkan menggunakan MATLAB/Simulink. HOA digunakan untuk melacak titik daya maksimum global pada kondisi iradiasi dinamis, sedangkan PMA mengatur aliran daya berdasarkan State of Charge (SOC) baterai dan superkapasitor. Kinerja sistem diuji pada tiga kondisi awal SOC dengan profil iradiasi 100–1.000 W/m² dan beban dinamis 500–1.700 W. Hasil simulasi menunjukkan efisiensi MPPT rata-rata sebesar 98,35% dan efisiensi energi sebesar 99,41%. Tegangan DC-link berhasil dipertahankan pada 400 V ± 5% dengan waktu pemulihan kurang dari 50 ms. Nilai Self-Consumption Index (SCI) & SSI mencapai 98,80%, 95,35%, dan 84,04%, sedangkan Grid Dependency Index (GDI) sebesar 1,2%, 4,65%, dan 15,96%. Hasil penelitian menunjukkan bahwa integrasi HOA-MPPT dan PMA mampu meningkatkan pemanfaatan energi PV, menjaga stabilitas sistem, serta mengurangi ketergantungan terhadap jaringan listrik.
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The increasing penetration of photovoltaic (PV) systems into the electricity grid presents challenges due to their intermittent generation and dependence on weather conditions. Fluctuations in irradiance, such as partial shading and uneven illumination, can degrade system stability and PV energy utilization. Various studies have developed Maximum Power Point Tracking (MPPT) algorithms and power management strategies, but their integration into grid-connected battery-supercapacitor hybrid energy storage systems (HESS) remains limited. This study evaluates the performance of the Horse Herd Optimization Algorithm (HOA)-based MPPT and the rule-based Power Management Algorithm (PMA) in a single-phase grid-connected PV-battery-supercapacitor system. The system consists of a 1,879.84 W PV, a 300 V/48 Ah Lithium-Ion battery, a 99.5 F/300 V supercapacitor, a bidirectional DC–DC converter, and a grid-tied inverter modeled using MATLAB/Simulink. The HOA is used to track the global maximum power point under dynamic irradiation conditions, while the PMA regulates the power flow based on the State of Charge (SOC) of the battery and supercapacitor. System performance was tested under three initial SOC conditions with an irradiation profile of 100–1,000 W/m² and a dynamic load of 500–1,700 W. Simulation results showed an average MPPT efficiency of 98.35% and an energy efficiency of 99.41%. The DC-link voltage was successfully maintained at 400 V ± 5% with a recovery time of less than 50 ms. The Self-Consumption Index (SCI) & SSI values reached 98,80%, 95,35%, and 84,04%, while the Grid Dependency Index (GDI) was 1,2%, 4.65%, and15,96%. The results show that the integration of HOA-MPPT and PMA can increase PV energy utilization, maintain system stability, and reduce dependence on the electricity grid.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Sistem PV-Baterai-Superkapasitor,Algoritma Manajemen Daya, MPPT Horse Herd Oprimization,Grid PV-Battery-Supercapacitor System, Power Management Algorithm, MPPT Horse Herd Optimization, Grid
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Ahmad Darsa
Date Deposited:	27 Jul 2026 08:46
Last Modified:	27 Jul 2026 08:46
URI:	http://repository.its.ac.id/id/eprint/138913

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