Design, optimisation and application of a resonant DC link inverter for solar energy systems

2014 ◽  
Vol 33 (5) ◽  
pp. 1761-1776 ◽  
Author(s):  
Ilhami Colak ◽  
Mehmet Demirtas ◽  
Ersan Kabalci
Keyword(s):  
Solar Energy ◽  
Energy Conversion ◽  
Boost Converter ◽  
Maximum Power ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Content Type ◽  
Switching Losses ◽  
Power Point ◽  
Zero Voltage

Purpose – The purpose of this paper is to examine diminish switching losses in a solar energy conversion system in order to utilise the full efficiency of a solar panel. Design/methodology/approach – In this paper, a boost converter and a resonant DC link (RDCL) inverter are controlled by a microcontroller. The maximum power point tracker (MPPT) algorithm implemented for boost converter supplies to track maximum power point of solar panel. The Class D full-bridge resonant inverter (RI) that is considered to be supplied by boost converter is modeled and zero voltage switching operation is performed by controlling the inverter with sinusoidal pulse width modulation (SPWM) control scheme. The control algorithm is managed with a feedback detecting the current of the boost converter and the zero voltage levels of capacitor voltage in the resonant circuit. Findings – There are several control techniques have been proposed to reduce switching losses and harmonic contents in conventional or RDCL inverters. Solar panels are used in low power applications among other renewable energy sources. By considering that the efficiency parameter of an actual solar panels is around 14∼17 per cent, the switching losses occurred in energy conversion systems causes the efficiency are reduced. Originality/value – The proposed approach has been decreased the switching power losses owing to resonant DC link inverter while the developed MPPT algorithm provides to generate maximum power. This paper introduces a novel soft switching technique in solar energy applications in order to maximise the possible efficiency.

scholarly journals Design and Simulation of a DC Stabilization System for Solar Energy System

2019 ◽  
Vol 35 (2) ◽  
Author(s):  
Pham Thi Viet Huong ◽  
Mac Khuong Duy ◽  
Tran Anh Vu ◽  
Dang Anh Viet ◽  
Minh - Trien Pham
Keyword(s):  
Solar Energy ◽  
Output Voltage ◽  
Clean Energy ◽  
Energy System ◽  
Maximum Power ◽  
Maximum Efficiency ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point

During the last few years, the demand for solar photovoltaic (PV) energy has grown remarkably since it provides electricity from an exhaustible and clean energy source. The generated power of solar panels depends on environment conditions, which changes continuously due to many factors, for example, the radiation, the characteristics of the load, etc. In order for the solar energy system operates at its most efficiency, it needs to work at its maximum power point (MPP). Previous literature has dealt with either investigating Maximum Power Point Tracking (MPPT) algorithms or tracking a steady output voltage from solar panels. However, when the load is changed, the new MPP need to be defined. In this paper, a novel adaptive MPPT system was proposed to investigate the MPP and keep tracking MPP at the same time. The proposed system was implemented in Proteus simulation. As the results, when the load is changing, the system obtained a steady and reliable desired output voltage. It is not only able to obtain a reliable steady DC output voltage but also keep the solar energy system work at its maximum efficiency.

scholarly journals Solar Power-Based Thermo Electric Cooler (TEC) System

2021 ◽  
Vol 3 (2) ◽  
pp. 133-140
Author(s):  
Marhaposan Situmorang ◽  
Monika Panjaitan
Keyword(s):  
Solar Energy ◽  
Maximum Power Point Tracking ◽  
Solar Panel ◽  
Maximum Power ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Thermo Electric ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Solar energy has been considered as a promising renewable energy source for electric power generation. Solar panel systems have become a popular object to be developed by researchers, but the low efficiency of solar panels in energy conversion is one of the weaknesses of this system. Factors that affect the output produced by solar panels are the intensity of sunlight and the working temperature of the solar panels. The solar panel module has a single operating point where the voltage and current outputs produce the maximum power output. There are three main methods in Maximum Power Point Tracking (MPPT), namely conventional methods, artificial intelligence methods, and hybrid methods. In most solar panel systems, this study uses Maximum Power Point Tracking (MPPT) with perturb and observe algorithms to maximize the use of solar energy. The maximum power point extracted by MPPT will be supplied to the battery and controlled by the Charge Controller. The energy stored in the battery will be used by the Thermo Electric Cooler cooling system to reach the desired temperature point using the keypad as temperature input.

scholarly journals Photovoltaic Power System with an Interleaving Boost Converter for Battery Charger Applications

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Sheng-Yu Tseng ◽  
Cheng-Tao Tsai
Keyword(s):  
Power System ◽  
Boost Converter ◽  
Maximum Power ◽  
Battery Charger ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Switching Losses ◽  
Power Point Tracking ◽  
Power Point ◽  
Observation Method

This paper proposes a photovoltaic (PV) power system for battery charger applications. The charger uses an interleaving boost converter with a single-capacitor turn-off snubber to reduce voltage stresses of active switches at turn-off transition. Therefore, active switches of the charger can be operated with zero-voltage transition (ZVT) to decrease switching losses and increase conversion efficiency. In order to draw the maximum power from PV arrays and obtain the optimal power control of the battery charger, a perturbation-and-observation method and microchip are incorporated to implement maximum power point tracking (MPPT) algorithm and power management. Finally, a prototype battery charger is built and implemented. Experimental results have verified the performance and feasibility of the proposed PV power system for battery charger applications.

scholarly journals Solar Energy System Based Impedance-Source Inverter for Grid Connected System

2018 ◽  
Vol 7 (2) ◽  
pp. 129
Author(s):  
S Kamalakkannan ◽  
D. Kirubakaran
Keyword(s):  
Solar System ◽  
Solar Energy ◽  
Rapid Change ◽  
Energy System ◽  
Boost Converter ◽  
Maximum Power ◽  
Grid System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point

In this work, the fickleness of solar energy can be overcome by using Maximum Power Point Tracking algorithm (MPPT). Perturb and Observation (P&O) MPPT algorithm accomplish fast the maximum power point for rapid change of environmental conditions such as irradiance intensity and temperature. The MPPT algorithm applied to solar system keep the boost converter output constant. Output from boost converter is taken to three phase impedance-source inverter with RL load and grid system. Impedance-source inverter performs the transformation of variable DC output of the solar system in to near sinusoidal AC output. This near sinusoidal AC output consecutively is served to the RL load first and then to grid system. The simulation is carried out in matlab/simulink platform both for RL load and grid system and the simulation results are experimentally validated for RL load arrangement only.

scholarly journals Solar energy based impedance-source inverter for grid system

2019 ◽  
Vol 9 (1) ◽  
pp. 102
Author(s):  
S. Kamalakkannan ◽  
D. Kirubakaran
Keyword(s):  
Solar Energy ◽  
Rapid Change ◽  
Boost Converter ◽  
Maximum Power ◽  
Grid System ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Solar Pv System ◽  
Power Point

<span lang="EN-US">In this work, the fickleness of solar energy can be overcome by using Maximum Power Point Tracking algorithm (MPPT). Perturb and Observation (P&amp;O) MPPT algorithm accomplish fast the maximum power point for rapid change of environmental conditions such as irradiance intensity and temperature. The MPPT algorithm applied to solar PV system keep the boost converter output constant. Output from boost converter is taken to three phase impedance-source inverter with RL load and grid system. Impedance-source inverter performs the transformation of variable DC output of the solar PV system in to near sinusoidal AC output. This near sinusoidal AC output consecutively is served to the RL load first and then to grid system. The simulation is carried out in matlab/simulink platform both for RL load and grid system and the simulation results are experimentally validated for RL load arrangement only.</span>

Comparison between Seven MPPT Techniques Implemented in a Buck Converter

2019 ◽  
Vol 12 (6) ◽  
pp. 476-486
Author(s):  
Lahcen El Mentaly ◽  
Abdellah Amghar ◽  
Hassan Sahsah
Keyword(s):  
Value Added ◽  
Buck Converter ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Low Efficiency ◽  
Power Point

Background: The solar field on our planet is inexhaustible, which favors the use of photovoltaic electricity which generates no nuisance: no greenhouse gases, no waste. Methods: It is a high value-added energy that is produced directly at the place of consumption through photovoltaic (PV) solar panels. Notwithstanding these advantages, the maximum power depends strongly on solar irradiation and temperature, which means that a Maximum Power Point Tracking (MPPT) controller must be inserted between the PV panel and the load in order to follow the Maximum Power Point (MPP) continuously and in real time. In this work, MPP’s behavior was simulated at different temperatures and solar irradiations using seven techniques which identify the MPP by different methods. Results: The novelty of this work is that the seven MPPT methods were compared according to a very selective criterion which is the MPPT efficiency as well as a purely digital duty cycle control without using the PI controller. The simulation under the PSIM software shows that the FLC, TP, FSCC, TG, HC and IC methods have almost the same efficiency of 99%, whereas the FOCV method had a low efficiency of 96%. Conclusion: This makes it possible to conclude that the best methods are FLC, HC and IC because they use fewer sensors compared to the rest.

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