Evaluation and Comparison of DC-DC Power Converter Variations in Solar Panel Systems Using Maximum Power Point Tracking (MPPT) Flower Pollination Algorithm (FPA) Control

Mohammad, Luthfansyah; Suyanto, Suyanto; Bangura, Abu Bakarr Momodu

doi:10.1051/e3sconf/202019000026

Cited by 3 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…PLTS memanfaatkan modul photovoltaic (PV) yang mengubah energi matahari menjadi energi listrik (Luthfansyah et al, 2020;Magribi et al, n.d.; 498 BRILIANT: Jurnal Riset dan Konseptual Volume 8 Nomor 2, Mei 2023 Mohammad et al, 2020). Sistem PLTS membutuhkan sebuah inverter untuk mengubah arus DC yang keluar dari sel surya menjadi arus AC sehingga dapat membantu memenuhi suplai energi dalam sebuah gedung (Hankins, 2010;Hart, 2011;RASHID, 2001).…”

Section: Metode Pembangkit Listrik Tenaga Suryaunclassified

Evaluasi Hasil Kinerja Tekno-Ekonomi Pembangkit Listrik Tenaga Surya (PLTS) Pada Bangunan Perguruan Tinggi di Indonesia

Mohammad,

Istiqomah,

Tahier

et al. 2023

Bri

View full text Add to dashboard Cite

Dimulainya kegiatan sekolah normal dan universitas membuat sektor pendidikan mengalami peningkatan konsumsi listrik dibandingkan tahuntahun sebelumnya sebelum merebaknya pandemi. Sayangnya, peningkatan konsumsi listrik berbanding lurus dengan peningkatan emisi yang besar. Oleh karena itu, diperlukan penggunaan teknologi energi terbarukan yang ramah lingkungan yang dapat langsung diterapkan di bidang pendidikan. Studi ini berfokus pada evaluasi kinerja sistem panel surya yang telah terpasang di Gedung Dekanat Universitas Diponegoro, Indonesia. Dua metode digabungkan dalam melakukan analisis; Simulasi perangkat lunak PVsyst Versi 7.0, dan penilaian langsung. Hasil asesmen lapangan menunjukkan bahwa sistem yang terpasang mampu menghasilkan energi sebesar 37.068 MWh per tahun dan hanya memiliki selisih sebesar 3.372 MWh saat disimulasikan. Terdapat kerugian sebesar 2,02% dari nilai produksi ideal yang disebabkan oleh beberapa faktor klimatologis dan teknis. Secara umum dengan target penghematan energi sebesar 16,6%, sistem yang dibangun berhasil mencapai 16,51%. Analisis kelayakan ekonomi menunjukkan bahwa nilai Levelized Cost of Electricity adalah Rp. 1.153,93 per kWh, nilai Payback Period 9,4 tahun, Net Present Value sekitar Rp. 364.331.588,4, dan Return of Investment sebesar 102,1%. Akhirnya, berdasarkan penilaian evaluasi, dapat diputuskan bahwa secara teknis sistem dapat bekerja dengan lancar sesuai target yang ditentukan, memiliki proyeksi ekonomi yang menguntungkan, dan memiliki potensi nilai investasi yang positif. PENDAHULUANSektor pendidikan yang terdiri dari sekolah dan universitas merupakan salah satu kelompok pelanggan tetap PLN yang diprediksi akan mengalami peningkatan konsumsi listrik dibandingkan beberapa tahun terakhir. Hal ini disebabkan dimulainya kembali kegiatan pembelajaran tatap muka yang selama 2 tahun terakhir dilakukan secara daring. Pada saat yang sama, peningkatan konsumsi Tersedia Online di http://www.jurnal.unublitar.ac.id/index. php/briliant

show abstract

Section: Metode Pembangkit Listrik Tenaga Suryaunclassified

Evaluasi Hasil Kinerja Tekno-Ekonomi Pembangkit Listrik Tenaga Surya (PLTS) Pada Bangunan Perguruan Tinggi di Indonesia

Mohammad,

Istiqomah,

Tahier

et al. 2023

Bri

View full text Add to dashboard Cite

show abstract

“…At this point, the current constraint between the series solar panels in the photovoltaic array and the voltage constraint between the parallel groups will lead to this condition. While the total output power reaches the top, the corresponding output power of each solar panel does not [11] at its respective maximum power points, especially when the illumination and cloud shadow obscured, or other mismatch occurs [12]. Although some modern algorithms work very well in tracking the maximum power points [13][14][15], these methods can only be used for static photovoltaic films, and the equipment cost is high.…”

Section: Introductionmentioning

confidence: 99%

Vehicle‐Mounted Photovoltaic System Energy Management in Intelligent Transportation Systems: A Maximum Power Point Tracking Control

2021

View full text Add to dashboard Cite

Electric vehicles have become the main contributor in terms of reducing fuel consumption and CO2 emission. Although the government is vigorously promoting the use of electric vehicles worldwide, the range anxiety still impedes the rapid development of electric vehicles, especially when air-conditioning also adds battery power consumption and aggravates the range anxiety. To this end, this paper proposes an improved vehicle-mounted photovoltaic system energy management in intelligent transportation systems, which is a maximum power point tracking control system. Meanwhile, since the power of solar panels is usually relatively small and the power changes at any time, low power density and poor controllability are difficult to avoid. In order to solve this problem, this paper offers a tracking control method to improve the output efficiency of solar panels. For improving photovoltaic conversion efficiency and maximizing output power, traditional photovoltaic power panels are often dominated by a centralized maximum power point tracing control, which is named MPPT. Although the cost under this case is lower, the output power of all photovoltaic panels cannot be maximized under the condition of uneven illumination or local mismatch. To improve the situation, a micro-scale inverter is proposed to provide MPPT control of photovoltaic modules, which can effectively improve the output power of each photovoltaic panel. Moreover, our MPPT algorithm is applicable to cloud shadow, building shadow, and shade, and it is more suitable for the car roof. Firstly, the Diode 5-parameter model is used to deduce the I-U equation of the photovoltaic module considering shadow shading, and then the real-time 5 parameter equation is formed by using the measured data group and selected. The reasonable initial value is used to iteratively solve the real-time value of 5 parameters, which is further to judge the masking situation. The maximum power point (MPP) is solved directly by the mathematical method based on the mathematical model of I-U relation mathematics, and the DC-DC circuit is used to adjust the running point to MPP. Unlike the traditional MPPT method, the method in this paper is based on the physical model of solar cells, and MPP tracking is based on mathematical methods. Based on this, it does not need to cause multiple interference to the circuit, and the tracking efficiency is high. Finally, the relative experimental results are provided to verify the performance of the proposed method.

show abstract

Enhancing PV Systems with Intelligent MPPT and Improved control strategy of Z-Source Inverter

Bettahar,

Sabrina,

Achour

2023

Power Electronics and Drives

View full text Add to dashboard Cite

The Improved Z-Source Inverter (IZSI) has gained attention in the photovoltaic industry for its ability to boost PV voltage with a single-stage topology, simplifying system design and reducing costs. However, research on integrating IZSI into PV systems, particularly regarding the Maximum Power Point Tracker (MPPT) and IZSI control strategy, is limited. This study proposes an Intelligent Improved Particle Swarm Optimization (IPSO) algorithm as an MPPT method for PV systems under constant and varying irradiance conditions. The IPSO algorithm is compared to the FPA, CSA, and traditional MPPT algorithm (PSO), and the results demonstrate that IPSO outperforms all algorithms in terms of speed, efficiency, and convergence in finding the Maximum Power Point (MPP). Two methods, Simple Boost Control (SBC) and Maximum Constant Boost Control with Third Harmonic Injection (THIMCBC), are employed to control IZSI. Simulation results using MATLAB-Simulink show that both strategies successfully find and track the MPP, but THIMCBC exhibits superior voltage-boosting performance compared to SBC. Overall, the proposed IZSI topology with the IPSO MPPT method and THIMCBC IZSI control strategy offers several advantages, including improved voltage boost ability, reduced z-source capacitor voltage stress, inherent inrush current limitation, and cost-effectiveness. These advantages make the proposed system a promising solution for photovoltaic systems.

show abstract

Evaluation and Comparison of DC-DC Power Converter Variations in Solar Panel Systems Using Maximum Power Point Tracking (MPPT) Flower Pollination Algorithm (FPA) Control

Cited by 3 publications

References 10 publications

Evaluasi Hasil Kinerja Tekno-Ekonomi Pembangkit Listrik Tenaga Surya (PLTS) Pada Bangunan Perguruan Tinggi di Indonesia

Evaluasi Hasil Kinerja Tekno-Ekonomi Pembangkit Listrik Tenaga Surya (PLTS) Pada Bangunan Perguruan Tinggi di Indonesia

Vehicle‐Mounted Photovoltaic System Energy Management in Intelligent Transportation Systems: A Maximum Power Point Tracking Control

Enhancing PV Systems with Intelligent MPPT and Improved control strategy of Z-Source Inverter

Contact Info

Product

Resources

About