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All Journal International Journal of Electrical and Computer Engineering Jurnal Elektronika dan Telekomunikasi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Kristi, Ant. Ardath
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Particle Swarm Optimization (PSO) based Photovoltaic MPPT Algorithm under the Partial Shading Condition Mukti, Ersalina Werda; Risdiyanto, Agus; Kristi, Ant. Ardath; Darussalam, Rudi
Jurnal Elektronika dan Telekomunikasi Vol 23, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.552

Abstract

Performance of solar photovoltaic (PV) system degrades considerably when the surface of the PV array is covered with shadows indicated by the reduction in the generated power. Partial shading condition causes the PV array to produce multiple peaks in PV’s characteristic curve causing the non-optimal power generation of the conventional maximum power point (MPPT) algorithm. Therefore, we proposed an optimization of PV system through the design of particle swarm optimization (PSO) algorithm in the MPPT in order to enhance the power extraction during shaded conditions. The evaluation of the performance of MPPT were carried out by comparing tracking time, tracking error and efficiency obtained by the PSO along with the two most used algorithms namely perturb and observe (P&O) and incremental conductance (IC). A partial shading generator function was designed to generate shading patterns randomly. The PV system consists of ten PV modules integrated with DC dummy load through DC-DC boost converter was simulated using MATLAB/SIMULINK. Simulation results show that the proposed PSO could obtain the global maximum power point (GMPP) while tracking performance of the P&O and IC MPPT both were stuck on the local maxima. Moreover, the optimization of PSO MPPT gave a promising result that the efficiency of the PV system was improved by around 4.66% on the dynamic shading conditions, while the MPPT’s tracking time is slowed down by 0.0025 s and 0.0105 s when its compared to the P&O and IC MPPT respectively.
Energy analysis of active photovoltaic cooling system using water flow Kristi, Ant. Ardath; Susanto, Erwin; Risdiyanto, Agus; Junaedi, Agus; Darussalam, Rudi; Rachman, Noviadi Arief; Fudholi, Ahmad
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp1-14

Abstract

An active water-cooling system is one of several technologies that has been proven to be able to reduce heat losses and increase electrical energy in photovoltaic (PV) module. This research discusses a comparative experimental study of three pump activation controls in cooling of PV module with the aim of evaluating specifically the PV output power, net energy gain, water flow rate, and module temperature reduction. The three pump activation controls being compared are continuously active during the test, active based on setpoint temperature, and active by controlling the pump voltage using pulse width modulation (PWM) control in adjusting water flow rate smoothly. The results show that controlling the pump voltage using PWM in the PV cooling process produces energy of 437.95 Wh, slightly lower than the others and the average module cooling temperature is 35.24 °C, higher of 1-3 °C than the others. Nevertheless, PWM control of cooling pump has resulted the percentage of net energy gain of 9.94%, greater than other controls, and with an average flow rate of 2.17 L/min, more efficient than the others. Thus, this control is quite effective as it can produce higher net PV energy yield and lower water consumption.
Penerapan Kendali Logika Fuzzy pada Proses Pendinginan Panel Surya Kristi, Ant. Ardath; Risdiyanto, Agus; Susanto, Erwin
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7366

Abstract

Salah satu faktor yang dapat mempengaruhi kinerja panel surya selain radiasi matahari, dan juga kondisi lingkungan sekitar panel adalah suhu. Panel surya akan menerima panas yang berasal dari radiasi matahari, sehingga menyebabkan suhu pada panel meningkat melebihi nilai suhu optimal yang disarankan dan kondisi ini menyebabkan kinerja dan juga efisiensi dari sel surya turun drastis. Setiap kenaikan suhu panel surya sebesar 1 ℃ dari 25℃ akan mengakibatkan pengurangan daya keluaran yang dihasilkan sebesar kisaran 0,4-0,5 %. Sistem pendingin air aktif merupakan salah satu dari beberapa teknologi yang telah terbukti mampu mengurangi kehilangan panas dan meningkatkan energi listrik pada modul fotovoltaik (PV). Penerapan kendali logika fuzzy pada sistem pendingin panel surya berbasis air menghasilkan perolehan energi bersih yang lebih unggul sebesar 43,90Wh atau meningkat sebesar 13,55% jika dibandingkan proses pendinginan tanpa memasukan kedali logika fuzzy dimana perolehan energi bersihnya berkurang sebesar 9,72%. Nilai efisiensi yang dihasilkan dari proses pendinginan dengan penerapan kendali logika fuzzy sebesar 20,33% lebih besar jika dibandingkan dengan proses pendinginan tanpa logika fuzzy yaitu 19,56%.
Co-Authors Agus Risdiyanto Ahmad Fudholi Darussalam, Rudi Erwin Susanto Junaedi, Agus Mukti, Ersalina Werda Noviadi Arief Rachman