Maximum Power Point Tracking Mechanism Research Articles

Improving Power Quality in a Grid-Connected Hybrid Power System through the Implementation of a Fuzzy Logic Controller

The examination of modeling and designing grid-connected hybrid power systems with efficient control strategies is the focus of this study. Integration of wind and photovoltaic systems into the ac-bus bar system is a common practice in enhancing operational performance. Utilization of Matlab Simulink software is employed for the design of this hybrid system, incorporating efficient MPPT control algorithms to optimize power generation from solar and wind sources under varying climatic conditions. Analysis of the maximum power point tracking mechanism and control methods of the hybrid power system is conducted, particularly in response to changes in weather conditions such as wind speed and solar radiation. Maintaining grid voltages and Unity Power Factor (UPF) while feeding currents into the grid is essential for the hybrid system. The employment of Proportional Integral (PI) control instead of Fuzzy Logic Controller (FLC) in the voltage-oriented control approach is explored to enhance power quality.

A New Triswitching Double Duty High Voltage Gain Boost Converter for DC Nanogrid Application

The Tri-switching Double Duty Converter (TSDDC) is a new non-isolated high gain DC-DC boost converter topology presented in this paper for 400V PV-based DC Nanogrid application. In a conventional DC nanogrid system, two DC-DC converter has been used, one for stepping up the voltage & the other for maximum power point tracking mechanism (MPPT). The proposed TSDCC can perform both operations in a single stage. The proposed converter has been controlled by two duty ratios ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\delta _{1}$</tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\delta _{2}$</tex-math></inline-formula> ) with the help of three switches. The highlighting feature of TSDDC are i) Controlled on two different duty cycles ii) High voltage gain at low duty ratio iii) Lower voltage stress on switches and diodes. The TSDDC is simulated for 500W power with 400V. The working of the converter is explained in detail for continuous conduction mode (CCM). In addition, design guideline and comparative study are also presented. Furthermore, a control scheme is implemented that controls MPPT(maximum power point tracking). A lab prototype of TSSDC was developed for 21V-400V, 400W and the switching frequency is 50kHZ. The proposed TSDDC converter's operating concept and controllability are verified by the simulation results.

Development and validation of enhanced fuzzy logic controller and boost converter topologies for a single phase grid system

Introduction. Solar photovoltaic system is one of the most essential and demanding renewable energy source in the current days, due to the benefits of high efficiency, reduced cost, no pollution, and environment friendly characteristics. Here, the maximum power point tracking controller has been implemented for obtaining an extreme power from the photovoltaic array. For this purpose, there are different controller and converter strategies have been deployed in the conventional works. It includes perturb and observation, incremental conductance, fuzzy logic systems, and hill climbing, and these techniques intend to extract the high amount of power from the solar systems under different climatic conditions. Still, it limits with the issues like increased design complexity, high cost consumption, high harmonics, and increased time consumption. The goal of this work is to deploy an improved controlling and converter topologies to regulate the output voltage and power fed to the single phase grid systems. The novelty of the work aims to develop an enhanced fuzzy logic controller based maximum power point tracking mechanism with the boost DC-DC converter topology for a single phase grid tied photovoltaic systems. Practical value. Also, the higher order harmonics suppression and unbalanced current elimination are handled by the use of LCL filtering technique, which efficiently reduces the harmonics in the output of inverter voltage and current. Moreover, it helps to obtain the reduced total harmonics distortion value with improved accuracy and efficiency. Results. There are different performance indicators have been evaluated for validating the proposed enhanced fuzzy logic controller–maximum power point tracking controlling technique. Moreover, the obtained results are compared with some of the conventional controlling algorithms for proving the betterment of the proposed work.

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization algorithm for battery charging through simulink

In this paper, a battery charging model is developed for solar PV system applications. As a means of photovoltaic power controlling system, buck-boost converter with a Maximum Power Point Tracking (MPPT) mechanism is developed in this paper for maximum efficiency. This paper proposed a novel combined technique of hybrid Particle Swarm Optimisation (PSO) and Salp Swarm Optimization (SSO) models to perform Maximum Power Point Tracking mechanisms and obtain a higher efficiency for battery charging. In order to retrieve the maximum power from the PV array, the Maximum Power Point Tracking mechanism is observed which reaches the maximum efficiency and the maximum power is fed through the buck-boost converter into the load. The buck-boost converter steps up the voltage to essential magnitude. The energy drawn from the PV array is used for the battery charging by means of an isolated buck converter since the buck-boost converter is not directly connected to the battery. The Fractional Order Proportional Integral Derivative (FOPID) controller handles the isolated buck converter and battery to enhance the efficiency obtained through the Maximum Power Point Tracking mechanism. The simulation results show higher steady efficiency by using the hybrid PSOSSO algorithm in all stages. The battery is charged without losing the efficiency obtained from the hybrid PSOSSO algorithm-based Maximum Power Point Tracking mechanism. The higher efficiency was obtained as 99.99% at Standard Test Conditions (STC) and 99.52% at PV partial shading conditions (PSCs) by using the new hybrid algorithm.

A novel high-gain DC–DC converter with non-linear carrier controller for photovoltaic applications

In the era of proliferated distributed renewable energy sources, high-gain DC–DC converters dragged much attention among the researchers. But there is a concern that high-gain converters have less efficiency and high switching stresses. The converter topology has two quasi-impedance source network and a voltage multiplier cell unit to facilitate very high-gain output voltage. This work also suggests using a non-linear carrier controller which embodies two loops within it: one facilitates the input variations and the other loop assists load regulations. The input variations due to varying irradiation of photovoltaic are alleviated by employing the perturb and observe maximum power point tracking mechanism. The simulation of the work is realized in MATLAB/Simulink arena, and hardware circuits are validated using the dsPIC30F4011 controller. This paper proposes a new two-loop control embedded high-gain DC–DC converter fed by photovoltaic source which aims at encouraging the project-driven engineering education teaching and thereby inherently complying to the standards set for academic excellence through Bloom’s taxonomy.

Estimating Effects of Individual PV Panel Failures on PV Array Output

Photovoltaic (PV) plants are becoming an ever more popular source of energy. While individual PV panels are quite resilient, failures do happen. Due to the arrangement of interconnections between multiple PV panels in an array and the maximum power point tracking mechanism, the failure of a single panel can influence the output of the whole ensemble. This paper estimates the impact of a single panel short-circuit failure on the output of a series–parallel array. Generally, the array power loss is larger than the contribution of the failed panel. The dependence of this increase on various factors such as the number of panels/strings, the shape of the current–voltage ( I–V ) curve of the panels, and the degree of panel inhomogeneities is investigated. This increase is found to depend most significantly on the shape of the I–V curve of the panel, and only weakly on a range of other parameters. It is, therefore, useful in estimating the impact of panel failures without the need to know many details about the system.

Adaptive Hybrid Maximum Power Point Tracking Method for a Photovoltaic System

Recently, the importance of exploring the plausibility of renewable energy has been progressively increased, not only because of concerns over the shortage of current fossil fuels but also the consideration of sustainable development and the negative environmental impact caused by large scale use of fossil fuels. Among renewable sources, solar energy seems to be one of the promising energy sources for widespread application. Due to its inherent intermittency and fluctuation, one of the important research interests is to harness the maximum power possible from the solar energy falling on a panel. To this end, an efficient maximum power point tracker to harvest as much energy as possible is a key to improving the system's efficiency and performance. This paper presents a novel hybrid maximum power point tracking mechanism with adaptive perturbation size. The proposed method is implemented, analyzed, and evaluated in MATLAB/Simulink. Both numerical and experimental evaluation results prove that by using the proposed method, better tracking performance can be achieved and the power delivered at steady state can be increased by a factor of 7.31% compared with conventional methods.