Modeling and control of a micro-grid set up using photovoltaic arrays

Kamalasadan, Sukumar; Al-Olimat, Khalid

doi:10.1109/ssst.2013.6524944

Cited by 15 publications

(3 citation statements)

References 4 publications

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“…Pembangkit listrik ini umumnya berada di lokasi pinggiran kota besar atau dekat dengan sumber energi utama. Pembangkitpembangkit ini biasanya menggunakan sumber energi konvensional atau tidak terbarukan yang menghasilkan gas rumah kaca, menyebabkan masalah lingkungan, dan juga menyebabkan nilai harga minyak fluktuatif yang tidak stabil [3].…”

Section: Pendahuluanunclassified

Implementation of Fast Fourier Transform and Artificial Neural Network in Series Arc Fault Identification and Protection System on DC Bus Microgrid

Anggriawan,

Sunarno,

Sunarno

et al. 2023

JTT (Jurnal Teknologi Terpadu)

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A microgrid is a cluster of electrical sources and loads that are interconnected and synchronized. Microgrid operation is typically divided into two modes, isolated or connected to the grid with a single or standalone control system. In this context, it can enhance the reliability and quality of electricity supply for connected customers. When using a microgrid system, it is important to consider the risk of series arc faults. Series arc faults are sudden bursts of flames resulting from ionization of gas between two electrode gaps. These faults can occur due to manufacturing defects, installation Errors, aging, or corrosion on conductor rods, leading to imperfect connections. Detecting series arc faults in DC microgrid system operations can be challenging using standard protective devices. Failure in the protection system can pose risks of fire, electrical shock hazards, and power loss in the DC microgrid.Therefore, a device has been designed to detect series arc faults by utilizing the fast Fourier transform method and artificial neural network, which function to analyze DC signal and make decisions when faults occur by examining the average sum of current frequency values during normal and fault conditions. In this study, the average sum of current frequency values during normal conditions was found to range from 0.35437 to 0.36906 A, while during fault conditions, it ranged from 0.21450 to 0.22793 A, with an average protection identification time of 1087 ms and an ANN output accuracy of 99.98%.

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Section: Pendahuluanunclassified

Implementation of Fast Fourier Transform and Artificial Neural Network in Series Arc Fault Identification and Protection System on DC Bus Microgrid

Anggriawan,

Sunarno,

Sunarno

et al. 2023

JTT (Jurnal Teknologi Terpadu)

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“…Advantages of photovoltaic (PV) systems outweigh their drawbacks. Some of these advantages are long life, low maintenance needs, ease of installation and no need for fuel; drawbacks are low output in cloudy days and high costs of initial setup [3]. The voltage generated by a PV cell is low (about 0.5 to 0.7 V); thus, it is necessary to connect a series of cells in a PV panel.…”

Section: Introductionmentioning

confidence: 99%

Overview of grid-connected two-stage transformer-less inverter design

Shayestegan

2018

J. Mod. Power Syst. Clean Energy

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This paper gives an overview of previous studies on photovoltaic (PV) devices, grid-connected PV inverters, control systems, maximum power point tracking (MPPT) control strategies, switching devices and transformer-less inverters. The literature is classified based on types of PV systems, DC/DC boost converters and DC/AC inverters, and types of controllers that control the circuit to ensure maximum power tracking and stabilization of load and input voltage. This is followed by the theoretical background of PV devices, an overview of MPPT controllers and common mode leakage current, and a detailed investigation of different inverter topologies regarding the ground leakage current. Furthermore, design principles of power converters, such as DC/DC boost converters, and single-phase inverters are discussed. The paper also discusses limitations and benefits in addition to the basic operating principles of several topologies. Finally, the proposed system is derived and its simulation results are discussed to offer the next generation of grid connected PV systems.

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“…Unit pembangkit ini sebagian besar berada di pinggiran kota besar atau di daerah terdekat dengan pusat sumber energi. Unit-unit ini menghasilkan energi listrik dengan menggunakan sumber energi konvensional yang menghasilkan gas rumah kaca sebagai dampak masalah lingkungan dan juga meningkatkan ketidakstabilan harga minyak [3].…”

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Kinerja Micro Grid Menggunakan Photovoltaic-Baterai dengan Sistem Off-Grid

Kusmantoro

Priyadi

Putri

et al. 2020

JNTETI

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Pada makalah ini dirancang sistem DC micro grid yang terdiri atas beberapa PV dan baterai yang saling terhubung melalui jaringan. PV grid A dan C menyalurkan daya 1.904 watt dalam sistem micro grid, sedangkan kontribusi daya baterai sebesar 784 watt. Sistem mempunyai beban 730 watt. Tujuan makalah ini adalah peningkatan kinerja micro grid dengan sistem off-grid, dengan kontrol terpusat berbasis controller Outseal. Kinerja sistem yang dirancang cukup baik karena sumber daya dari sistem PV grid A dan grid C cukup untuk memenuhi permintaan beban dan untuk mengisi baterai. Pada saat radiasi matahari rendah, baterai memenuhi permintaan beban. Sistem yang diusulkan mempertahankan tegangan pada 12 V dengan perubahan hanya ± 10%.

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Modeling and control of a micro-grid set up using photovoltaic arrays

Cited by 15 publications

References 4 publications

Implementation of Fast Fourier Transform and Artificial Neural Network in Series Arc Fault Identification and Protection System on DC Bus Microgrid

Implementation of Fast Fourier Transform and Artificial Neural Network in Series Arc Fault Identification and Protection System on DC Bus Microgrid

Overview of grid-connected two-stage transformer-less inverter design

Kinerja Micro Grid Menggunakan Photovoltaic-Baterai dengan Sistem Off-Grid

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