A new approach: Modeling, simulation, development and implementation of a commercial Grid-connected transformerless PV inverter

Dell'Aquila, R. V.; Balboni, L.; Morici, R.

doi:10.1109/speedam.2010.5542040

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…To illustrate and to compare the different control strategies, a typology of the PV system must be chosen. The first decision that was made was to use either a grid connected, or non-grid connected system [11,12]. Secondly, a structure with a large market segment was investigated, e.g., a low or medium power installation that can be implemented e.g., on roof tops of houses.…”

Section: Choice Of Typology Of the Pv Systemmentioning

confidence: 99%

Comparison of Bang Bang and PMW switching techniques for DC/AC photovoltaic converter

Martínez¹,

Krim²,

Abbes³

et al. 2024

RE&PQJ

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The general objective of this paper is to demonstrate that simple control strategy can be implemented in photovoltaic (PV) systems. A complete PV installation is embedded under MATLAB/Simulink environment to simulate and compare two control methods. The first one is based on bang bang control (Hysteresis) and the second one is the pulse width modulation method. We are focussing in applying these simple control strategies in the case of PV system operating in a standalone mode supplying an AC load. The integration with the load is made by a “H bridge”. Specific goals are mastering and realising the complete model of the PV installation and its control algorithm (PV array, AC-DC converter, maximum power point tracking ...). Control strategies have been developed and simulated to visualise the functionality and convenience of the different control schemes of the PV system. Simulation results allow the comparison of the different control techniques with a particular attention for two criteria: the total efficiency as well as the harmonic distortion rate. Results shows that simple bang bang algorithm gives better results in terms of efficiency and harmonic distortion rate.

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Section: Choice Of Typology Of the Pv Systemmentioning

confidence: 99%

Comparison of Bang Bang and PMW switching techniques for DC/AC photovoltaic converter

Martínez¹,

Krim²,

Abbes³

et al. 2024

RE&PQJ

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“…In solar modules, continually changing environmental conditions such as partial shading can adversely affect the peak output power from the model. Many calculating techniques have been suggested by the researchers [3,[7][8][9][10]. Modest circuit constructed model was proposed in [3,[9][10][11].…”

Section: Figure 1 -Basic Solar Cellmentioning

confidence: 99%

Analysis of Performance of a Pv Solar Cell and Effect of Physical Parameter

Rehan Ali Rahimoon,

Kamil Zaman Rahimoon,

Aamir Khan Jarwar

et al. 2023

BTOUPhMath

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In recent days, PV solar systems have been commercialized in almost the whole world because of its advantageous efforts like a long-term supply of power at a very lower cost and various governments are also encouraging consumers to use sustainable green energy. The purpose of this study was to develop a model that allows the user to predict PV cell’s current-voltage (I-V) and power-voltage (P-V) characteristic curves by varying irradiance, cell temperature, and diode ideality factor, and the value of series resistance. The characteristic curves obtained from the simulation of the MATLAB/Simulink model are matched with the data given by the manufacturers by changing the value of mentioned internal parameters. Comparative results of one and two diode models with different electrophysical parameters are shown. There are analyses for photocurrent, voltage and power, as well as their dependence on single and two diode models. Block diagram models for diodes are also presented. Keywords: Irradiance, Temperature, Ideality Factor, Series Resistance, current-voltage characteristics.

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“…In [3], an analysis of CAE tools such as MATLAB/Simulink and dSpace/TargetLink describes how they perform fundamental steps such as physical modelling, simulations, control algorithms design and testing, hardware evaluation, parameter optimization, and finally code generation for real-time software implementations. As an example, the development of a controller for a low power singlephase transformerless inverter was presented.…”

Section: Modelling Input Test Signals and Defining Reference Responsementioning

confidence: 99%

“…and P x is the x-th percentile of the values of P inst logged during a specified time interval, where x is 0.1, 0.7, 1, 1.5, 2.2, 3,4,6,8,10,13,17,30,50,80. The interval can vary from 1 to 15 m, however, the EN 61000-4-30 standard assumes 10 m for a typical flicker severity evaluation.…”

Section: Flicker Implementationmentioning

confidence: 99%

Rapid algorithm prototyping and implementation for power quality measurement

Kołek

Piątek

2015

EURASIP J. Adv. Signal Process.

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This article presents a Model-Based Design (MBD) approach to rapidly implement power quality (PQ) metering algorithms. Power supply quality is a very important aspect of modern power systems and will become even more important in future smart grids. In this case, maintaining the PQ parameters at the desired level will require efficient implementation methods of the metering algorithms. Currently, the development of new, advanced PQ metering algorithms requires new hardware with adequate computational capability and time intensive, cost-ineffective manual implementations. An alternative, considered here, is an MBD approach. The MBD approach focuses on the modelling and validation of the model by simulation, which is well-supported by a Computer-Aided Engineering (CAE) packages. This paper presents two algorithms utilized in modern PQ meters: a phase-locked loop based on an Enhanced Phase Locked Loop (EPLL), and the flicker measurement according to the IEC 61000-4-15 standard. The algorithms were chosen because of their complexity and non-trivial development. They were first modelled in the MATLAB/Simulink package, then tested and validated in a simulation environment. The models, in the form of Simulink diagrams, were next used to automatically generate C code. The code was compiled and executed in real-time on the Zynq Xilinx platform that combines a reconfigurable Field Programmable Gate Array (FPGA) with a dual-core processor. The MBD development of PQ algorithms, automatic code generation, and compilation form a rapid algorithm prototyping and implementation path for PQ measurements. The main advantage of this approach is the ability to focus on the design, validation, and testing stages while skipping over implementation issues. The code generation process renders production-ready code that can be easily used on the target hardware. This is especially important when standards for PQ measurement are in constant development, and the PQ issues in emerging smart grids will require tools for rapid development and implementation of such algorithms.

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A new approach: Modeling, simulation, development and implementation of a commercial Grid-connected transformerless PV inverter

Cited by 4 publications

References 12 publications

Comparison of Bang Bang and PMW switching techniques for DC/AC photovoltaic converter

Comparison of Bang Bang and PMW switching techniques for DC/AC photovoltaic converter

Analysis of Performance of a Pv Solar Cell and Effect of Physical Parameter

Rapid algorithm prototyping and implementation for power quality measurement

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