Hazlif Nazif

SIMULASI MAXIMUM POWER POINT TRACKER DENGAN KONTROL ARUS HYSTERESIS PADA PEMBANGKIT TENAGA LISTRIK SURYA

Introduction

Simulasi maximum power point tracker dengan kontrol arus hysteresis pada pembangkit tenaga listrik surya. Optimalkan daya listrik PLTS! Simulasi MPPT dengan kontrol arus hysteresis dan algoritma P&O pada konverter boost terbukti meningkatkan daya keluaran dari 45W menjadi 60W.

Abstract

Daya listrik yang optimal dan stabil yang dibutuhkan untuk peralatan elektronik skala rumah tangga, perkantoran dan industri agar peralatan elektronik dapat bekerja secara optimal. Namun pada cuaca cerah, kinerja peralatan elektronik yang turun karena daya keluaran yang kurang optimal dan tidak stabil yang dihasilkan dari PLTS disebabkan tidak adanya Maximum Power Point Tracker (MPPT) dan PWM konvensional. Oleh karena itu, Metode MPPT yang diperlukan untuk konverter boost sebagai pengatur tegangan keluaran dari panel surya untuk mencari titik Maximum Power Point (MPP) pada kurva karakteristik panel surya sampai didapatkan daya maksimal secara optimal. Dalam penelitian ini, peneliti mencoba algoritma MPPT Perturb and Observe (P&O) untuk mengendalikan konverter boost agar berada pada titik MPP. Model sistem dirancang, model dibuat, disimulasikan, simulasi diuji dan dianalisa dengan menggunakan software PSIM. Dari hasil pengujian dan analisa dapat diperlihatkan bahwa daya keluaran 60W yang dihasilkan dari sistem dengan MPPT dibandingkan daya keluaran 45W yang dihasilkan dari sistem tanpa MPPT

Review

This paper addresses the critical need for stable and optimal power output from solar photovoltaic (PV) systems, particularly for household, office, and industrial electronics. The authors correctly identify that conventional solar power generation often suffers from suboptimal and unstable power delivery due to the absence of a Maximum Power Point Tracker (MPPT) and limitations of conventional PWM, leading to reduced performance of electronic devices, especially under clear weather conditions. To mitigate this, the study proposes the implementation of an MPPT method integrated with a boost converter to continuously track the Maximum Power Point (MPP) on the solar panel's characteristic curve. The research specifically employs the Perturb and Observe (P&O) MPPT algorithm to control a boost converter, aiming to maintain operation at the MPP. The system model was designed, developed, and subsequently simulated and analyzed using PSIM software. A notable aspect, as indicated by the title, is the integration of hysteresis current control, which, while not fully detailed in the abstract's methodology description, suggests a specific approach to boost converter regulation. The simulation results clearly demonstrate the effectiveness of the proposed MPPT system, showing a substantial increase in power output from 45W (without MPPT) to 60W (with MPPT). The findings unequivocally highlight the benefits of integrating an MPPT system for enhancing solar power output, providing a quantitative measure of improvement. While the abstract provides a compelling demonstration of MPPT's utility, a full paper would benefit from a more detailed exposition of the hysteresis current control implementation and its advantages compared to other control strategies. Further context regarding the solar panel's specifications, the exact simulation conditions (e.g., irradiance, temperature), and a comparative analysis with other MPPT algorithms could strengthen the contribution. Nevertheless, this work offers a valuable simulation-based insight into improving solar PV system efficiency, paving the way for further practical implementations and deeper analytical studies.

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