TEG Cascaded Solar PV System with Enhanced Efficiency by Using the PSO MPPT Boost Converter

Thermoelectric generators (TEGs) are used in small power applications to generate electrical energy from waste heats. Maximum power is obtained when the connected load to the ends of TEGs matches their internal resistance. However, impedance matching cannot always be ensured. Therefore, TEGs operate at lower efficiency. For this reason, maximum power point tracking (MPPT) algorithms are utilized. In this study, both TEGs and a boost converter with MPPT were modeled together. Detailed modeling, simulation, and verification of TEGs depending on the Seebeck coefficient, the hot/cold side temperatures, and the number of modules in MATLAB/Simulink were carried out. In addition, a boost converter having a particle swarm optimization (PSO) MPPT algorithm was added to the TEG modeling. After the TEG output equations were determined, the TEG modeling was performed based on manufacturer data sheets. Thanks to the TEG model and the boost converter with PSO MPPT, the maximum power was tracked with a value of 98.64% and the power derived from the TEG was nearly unaffected by the load changes. The power outputs obtained from the system with and without MPPT were compared to emphasize the importance of MPPT. These simulation values were verified by using an experimental setup. Ultimately, the proposed modeling provides a system of TEGs and a boost converter having PSO MPPT.

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Non-Linear Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking

Processes ◽

10.3390/pr8010108 ◽

2020 ◽

Vol 8 (1) ◽

pp. 108 ◽

Cited By ~ 6

Author(s):

Hina Gohar Ali ◽

Ramon Vilanova Arbos ◽

Jorge Herrera ◽

Andrés Tobón ◽

Julián Peláez-Restrepo

Keyword(s):

Sliding Mode ◽

Boost Converter ◽

Maximum Power ◽

Solar Pv ◽

Pv System ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Control Scheme ◽

Power Point

In this paper, nonlinear sliding mode control (SMC) techniques formulated for extracting maximum power from a solar photovoltaic (PV) system under variable environmental conditions employing the perturb and observe (P and O) maximum power point tracking (MPPT) technique are discussed. The PV system is connected with load through the boost converter. A mathematical model of the boost converter is derived first, and based on the derived model, a SMC is formulated to control the gating pulses of the boost converter switch. The closed loop system stability is verified through the Lyapunov stability theorem. The presented control scheme along with the solar PV system is simulated in MATLAB (matric laboratory) (SMC controller and PWM (Pulse Width Modulation) part) and PSIM (Power electronics simulations) (solar PV and MPPT algorithm) environments using the Simcoupler tool. The simulation results of the proposed controller (SMC) are compared with the classical proportional integral derivative (PID) control scheme, keeping system parameters and environmental parameters the same.

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A brief overview of maximum power point tracking algorithm for solar PV system

Materials Today Proceedings ◽

10.1016/j.matpr.2021.01.220 ◽

2021 ◽

Author(s):

C. Pavithra ◽

Pooja Singh ◽

Venkatesa Prabhu Sundramurthy ◽

T.S. Karthik ◽

P.R. Karthikeyan ◽

...

Keyword(s):

Maximum Power Point Tracking ◽

Tracking Algorithm ◽

Maximum Power ◽

Solar Pv ◽

Pv System ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Solar Pv System ◽

Power Point

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Modeling and Simulation of Grid Connected PV Generation System Using Matlab/Simulink

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v8.i1.pp392-401 ◽

2017 ◽

Vol 8 (1) ◽

pp. 392 ◽

Cited By ~ 1

Author(s):

Omar Mohammed Benaissa ◽

Samir Hadjeri ◽

Sid Ahmed Zidi

Keyword(s):

Cell Model ◽

Boost Converter ◽

Maximum Power ◽

Photovoltaic System ◽

Pv System ◽

External Temperature ◽

Point Tracking ◽

Pv Cell ◽

Power Point ◽

Grid Side

<span lang="EN-US">This paper describes the Grid connected solar photovoltaique system using DC-DC boost converter and the DC/AC inverter (VSC) to supplies electric power to the utility grid. The model contains a representation of the main components of the system that are two solar arrays of 100 kW, boost converter and the grid side inverter. The paper starts with a system description, in this part we have given a definition and a short overview of every component used in this system and they are taken separately. The PV cell model is easy, accurate, and takes external temperature and solar radiation into consideration. It also proposes a maximum power point tracking (MPPT) algorithm. The algorithm incorporated in a DC/DC converter is used to track the maximum power of PV cell. Finally, the DC/AC inverter (VSC) of three- level is used to regulate the ouput voltage of DC/DC converter and connects the PV cell to the grid. Simulation results show how a solar radiation’s change can affect the power output of any PV system, also they show the control performance and dynamic behavior of the grid connected photovoltaic system.</span>

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An Intelligent Maximum Power Point Tracking Algorithm for Photovoltaic System

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.35.22861 ◽

2018 ◽

Vol 7 (4.35) ◽

pp. 457

Author(s):

M. I. Iman ◽

M. F. Roslan ◽

Pin Jern Ker ◽

M. A. Hannan

Keyword(s):

Fuzzy Logic Controller ◽

Boost Converter ◽

Maximum Power ◽

Photovoltaic System ◽

Resistive Load ◽

Pv System ◽

Maximum Power Point ◽

Point Tracking ◽

Pv Panel ◽

Power Point

This work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time taken for the tracking of maximum power point of PV application system and minimize output power oscillation. The simulation was done by using MATLAB/Simulink with DC-DC Boost converter. The result shows that FLC method with PSO has achieved the fastest response time to track MPP and provide minimum oscillation compared to conventional P&O and FLC techniques.

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A Novel Artificial Intelligence based Hybrid Maximum Power Point Tracking Technique for Solar Photovoltaic System

10.21203/rs.3.rs-78775/v1 ◽

2020 ◽

Author(s):

Mohammad junaid Khan

Keyword(s):

Artificial Intelligence ◽

Maximum Power ◽

Solar Pv ◽

Pv System ◽

Maximum Power Point ◽

Ecological Conditions ◽

Pv Array ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point

Abstract Backgrounds: Solar photo-voltaic (PV) arrays have non-linear characteristics with distinctive maximum power point (MPP) which relies on ecological conditions such as solar radiation and ambient temperature. In order to obtain continuous maximum power (MP) from PV arrays under varying ecological conditions, maximum power point tracking (MPPT) control methods are employed. MPPT is utilized to extract MP from the solar PV array, high-performance soft computing techniques can be used as an MPPT technique. Results: In order to show the feasibility and performance of the proposed Artificial Intelligence based Perturbe and Observe (AIAPO) MPPT controller, a simulation analysis has been carried out using the PV system. Combined results with different MPPT systems for power, voltage and current waveforms are the output values increase to 272.4W, 157V and 1.74A respectively. Using proposed AIAPO MPPT provides more accurate and stable result as compared to Perturbe and Observe (PO), Fuzzy Logic (FL) and Artificial Neural Network (ANN) based MPPT Technique. As per the experimentation performed by various MPPT techniques are carried out for PV system which are clearly indicating that the comparative analysis of power, voltage and current performance of PV system (i.e. have been recorded 272.4W, 157V and 1.74A) using proposed MPPT method which is better than the PO based MPPT (i.e. 169.1W, 127V, 1.43A), FL based MPPT technique (i.e. 256.9W, 152V, 1.69A) and ANN based MPPT technique (i.e. 265W, 154V, 1.71A) correspondingly. Conclusions: The aim of this paper is to track MPP from the solar PV array by the proposed hybrid controller for irradiation changes and comparing results with PO, FL and ANN based MPPT controllers. Different MPPT techniques have been used to compute MPP and improved efficiency of the PV panel. AIAPO, ANN, FL and PO MPPT methods have been chosen to obtain this objective. Simulation results showing that the system in which proposed control method has been used gives better performance and reduce fluctuations of the MPP as compared to PO, FL and ANN based MPPT technique at rapid changes of irradiation. In order to fabricate a reliable and real time hybrid system, there is a massive scope of research to develop multi-input renewable energy systems.

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Power optimization in partially shaded photovoltaic systems

Tehnički glasnik ◽

10.31803/tg-20180201165044 ◽

2018 ◽

Vol 12 (1) ◽

pp. 34-38

Author(s):

Halil Erol ◽

Mahmut Uçman

Keyword(s):

Climatic Conditions ◽

Maximum Power ◽

Hill Climbing ◽

Solar Pv ◽

Pv System ◽

Maximum Power Point ◽

Partial Shading ◽

Point Tracking ◽

Linear Behaviour ◽

Power Point

The Power-Voltage characteristic of a photovoltaic (PV) array exhibits non-linear behaviour when exposed to uniform solar irradiance. Maximum Power Point (MPP) tracking is challenging due to the varying climatic conditions in a solar PV system. Moreover, the tracking algorithm becomes more complicated due to the presence of multiple peaks in the power voltage characteristics under the condition of partial shading. This research is devoted to the Stochastic Beam Search (SBS) based algorithm and Stochastic Hill Climbing (SHC) for a maximum power point tracking (MPPT) at a partial shading condition in the PV system. To give a partial shading effect over the entire array of a PV system, a mast is placed in front of the modules. The modules in the array are connected in such a way that one does not need to rewire the electrical connection during the rearrangement of modules. It is validated that the power generation performance of an array under a moving shading condition is increased. Furthermore, it is observed that the SHC method outperforms the SBS method in the MMP tracking.

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DC-Microgrid System Design, Control, and Analysis

Electronics ◽

10.3390/electronics8020124 ◽

2019 ◽

Vol 8 (2) ◽

pp. 124 ◽

Cited By ~ 7

Author(s):

Adel El-Shahat ◽

Sharaf Sumaiya

Keyword(s):

Power Systems ◽

Direct Current ◽

Complete System ◽

Systems Design ◽

Maximum Power ◽

Solar Pv ◽

Pv System ◽

Dc Microgrid ◽

Point Tracking ◽

Power Point

Recently direct current (DC) microgrids have drawn more consideration because of the expanding use of direct current (DC) energy sources, energy storages, and loads in power systems. Design and analysis of a standalone solar photovoltaic (PV) system with DC microgrid has been proposed to supply power for both DC and alternating current (AC) loads. The proposed system comprises of a solar PV system with boost DC/DC converter, Incremental conductance (IncCond) maximum power point tracking (MPPT), bi-directional DC/DC converter (BDC), DC-AC inverter and batteries. The proposed bi-directional DC/DC converter (BDC) lessens the component losses and upsurges the efficiency of the complete system after many trials for its components’ selection. Additionally, the IncCond MPPT is replaced by Perturb & Observe (P&O) MPPT, and a particle swarm optimization (PSO) one. The three proposed techniques’ comparison shows the ranking of the best choice in terms of the achieved maximum power and fast—dynamic response. Furthermore, a stability analysis of the DC microgrid system is investigated with a boost converter and a bidirectional DC-DC converter with the Lyapunov function for the system has been proposed. The complete system is designed and executed in a MATLAB/SIMULINK environment and validated utilizing an OPAL real-time simulator.

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Harvesting Maximum Power from Mismatch Module of PV System Using PO Buck-Boost Converter

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.953-954.95 ◽

2014 ◽

Vol 953-954 ◽

pp. 95-98

Author(s):

Mohd Najib Mohd Hussain ◽

Ahmad Maliki Omar ◽

Intan Rahayu Ibrahim

Keyword(s):

Code Generation ◽

Boost Converter ◽

Maximum Power ◽

Solar Pv ◽

Pv System ◽

Maximum Power Point ◽

Development Environment ◽

Model Based ◽

Pv Module ◽

Power Point

This paper presents a simulation and laboratory test of Photovoltaic (PV) module incorporated with Positive Output (PO) Buck-Boost Converter for harnessing maximum energy from the solar PV module. The main intention is to invent a system which can harvest maximum power point (MPP) energy of the PV system in string-connection. The model-based design of the controller and maximum power point tracking (MPPT) algorithm for the system were implemented using MATLAB SIMULINK software. For laboratory execution, the digital microcontroller of dsPIC30F digital signal controller (DSC) was used to control the prototype of PO buck-boost converter. The code generation via MPLAB Integrated Development Environment (IDE) from model-based design was embedded into the dsPIC30F using the SKds40A target board and PICkit 3 circuit debugger. The system was successfully simulated and verified by simulation and laboratory evaluations. A physical two PV module of PV-MF120EC3 Mitsubishi Electric is modeled in string connection to represent a mismatch module. While in laboratory process, a string-connection of 10W and 5W PV module is implemented for the mismatch module condition.

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