MPPT FUZZY CONTROLLER Research Papers (original) (raw)

This work deals with voltage regulation of solar photovoltaic based minigrid. In this regulator, DC-DC boost converter embedded with maximum power point Tracking (MPPT) voltage regulation without controlling charging and discharging of batteries through bidirectional converter. The proposed voltage regulator managed to regulate dc voltage and maintaining the dc bus voltage at its reference value. The DC voltage regulation has been done by corrected duty cycle of estimated duty cycle through MPPT controller. The DC voltage regulator was tested at slow varying and moderately varying solar Insolation at Constant Temperature. Simulation results using MATLAB/SIMULINK software show that the DC voltage regulator is capable of regaining voltage regulation after step load changes

- by and +2
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- MPPT FUZZY CONTROLLER, Solar PV, Non inverting buck boost converter, Solar PV Systems Installation

The control and operation of electronic systems
relies and depends on the availability of the power supply.
Rechargeable batteries have been more pervasively used as
the energy storage and power source for various electrical and electronic systems and devices, such as communication
systems, electronic devices, renewable power systems, electric vehicles, etc. However, the rechargeable batteries are
subjected to the availability of the external power source when it is drained out. Because of the concern of battery life,
environmental pollution and a possible energy crisis, the
renewable solar energy has received an increasing attention
in recent years. A fuzzy logic control based grid tied
uninterruptible power supply integrating renewable solar
energy can be used for electrical and electronic systems to
produce power generation. This paper presents the design and implementation of fuzzy logic control based grid tied
uninterruptible power supply integrating the renewable solar power energy system. The uninterruptible power supply (UPS) system is characterized by the rechargeable battery that is connected with the Photovoltaic Panel through the DC/DC converter, the utility AC through the AC/DC converter and the load is connected through the DC/AC converter. The whole operation is controlled by the fuzzy logic algorithm. A complete hardware prototype system model of the fuzzy logic control based on the grid tied uninterruptible power supply integrating with the renewable solar energy is designed and implemented. The operation and effectiveness of the proposed system is then demonstrated by the actual and real-time implementation of the fuzzy logic control grid tied operation
uninterruptible power supply integrating renewable solar
energy connected to the rechargeable battery bank and a PIC
microcontroller platform for fuzzy logic control and operation.

Wind energy is one of the most available and
exploitable forms of renewable energy. Variable speed PMSG
based Wind Energy Conversion System (WECS) offers many
advantages compared to the fixed speed squirrel cage induction
generators such as improved stator output operation at better
power factor, no maintenance cost for gear box (as it is directdriven)
reduction in weight and losses, higher efficiency and
ability to run at low speeds. The elimination of the gear box and
brushes can enhance the efficiency of wind turbine by 10%. In
this paper a Permanent Magnet Synchronous Generator (PMSG)
is modeled whose stator is connected to the constant single phase
load (in place of grid) through AC/DC thyristors based rectifier
followed by capacitor (dc-link) and DC/DC converter control.
Overall arrangement provides constant output to connected load
if applied with proper controlling techniques. Hence this
proposed wind generation system design can be extended for grid
connection also via DC/AC inverter control. Results are
simulated and verified in MATLAB/Simulink platform at
constant rated (12m/s) and varying (stepped) wind speed for
smooth and constant output voltage.

This paper presents an intelligent control technique for the Maximum Power Point Tracking (MPPT) of a photovoltaic (PV) system using adaptive neuro-fuzzy inference system (ANFIS) under variable solar irradiation conditions. The MXS 60 PV Module specifications is considered for the analysis and models of solar PV module and a DC/DC Boost converter are developed in MATLA/SIMULINK environment. Initially, an MPPT controller is designed using Perturb and Observe (P&O) method. However, this conventional method cannot track rapid changes in the solar irradiation effectively. Hence, an intelligent controller is designed using ANFIS which draws much energy and fast response under continuously changing operating conditions. The PV module with proposed MPPT controller is analyzed in stand-alone mode. The major disadvantage with PV system is its uncertain and intermittent power output which depends on weather conditions. PV module alone cannot supply reliable power to the isolated load effectively. To overcome this, PV module can be connected to the grid. It serves two purposes; in case of deficit solar irradiation, power can be taken from the grid and when there is surplus irradiation, power can be fed to the grid. In order to predict the power supplied to the load and grid under different operating conditions sensitivity analysis has been carried out for the PV system with designed MPPT controller is simulated using HOMER Pro Software.

This paper represents a review of a comparative study of widely-adopted MPPT techniques applied to
photovoltaic (PV) power system. But, confusion lies while selecting a MPPT as every technique has its own advantages
and disadvantages. Also some technique has more complexity than other system and cost also plays big role in
selection procedure of MPPT technique for particular application like domestic, industrial etc.

- by Sagar Savaliya and +1
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- MPPT FUZZY CONTROLLER, MPPT method for photovoltaic, Pv Mppt, Mppt Design for Pv Application

Due to the ever increase in the price of Grid Electricity, many countries are switching to Renewable sources. Energy from Sun in the form of Solar, Wind and Biomass Energy can be used by any electricity consumer. With the Net Metering approved by the Ceylon Electricity Board in Sri Lanka, Domestic consumers and all Commercial consumers will benefit by installing such renewable energy systems connected to the grid through an interface which will maximize the energy from these installed through a SMART system. This undergraduate research project the University of Ruhunu SriLanka describes the design, assembling and testing of such a system. The fetching the optimal energy is based on Maximum Power Point Tracking concept and the project was implemented for Solar PV power generation. Mainly the system was implemented based on power electronic theories.The Following parameters were considered at a particular time period. The Module Voltage, SunIrradiation and the ambient temperature. An algorithm was prepared to adjust the output current to fetch maximum power. The battery could be charged by the renewable sources and due to the environment changes the reliability of the output can be changed, therefore it is connected to the inverter through a power management system when renewable power source is not providing energy and if the battery is discharged then the system will shift to the redundant power supply. The system was tested and the results of them, the average efficiencies of the solar power generation system with and without maximum power point tracker were around 71.4% and 92.9% respectively.The system component ratings and electronic design depend upon the ratings of the input sources.The system that was implemented is a panel with the ratings of maximum power 120W and the optimum operating voltage and current and 17.2V and 6.98A respectively. This system cost was about Rs.18000 ($145) with component costs in Sri Lanka

- by Kanaga Gnana
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- Renewable Energy, Solar Energy, MPPT FUZZY CONTROLLER, Solar Inverter design

- by Saurabh Dutta and +1
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- High Voltage Engineering, MPPT FUZZY CONTROLLER, Condition monitoring of power transformers

The paper proposes a high step up boost converter. The proposed converter has used a coupled inductor with switched capacitors. The capacitors were made to get charged in parallel and were made to get discharged in series by the configuration to achieve high step up voltage gain. And the voltage across the load is maintained constant by using a closed loop control. The converter is being provided by a PV source instead of a fixed DC input voltage. The output of the PV system is then controlled by maximum power point tracking with fuzzy logic control. And the system is then implemented in MATLAB software to verify the proper performance of the converter and its control. Due to energy crisis and environmental issues such as pollution and global warming effect, photovoltaic (PV) systems are becoming a very attractive solution. Unfortunately the actual energy conversion efficiency of PV module is rather low. So to overcome this problem and to get the maximum possible efficiency, the design of all the elements of the PV system has to be optimised. In order to increase this efficiency, MPPT controllers are used. Such controllers are becoming an essential element in PV systems. A significant number of MPPT control schemes have been elaborated since the seventies, starting with simple techniques such as voltage and current feedback based MPPT to more improved power feedback based MPPT such as the perturbation and observation (P&O) technique or the incremental conductance technique [1-2]. Recently intelligent based control schemes MPPT have been introduced. Some converters operate at very high frequency with fast transient response. The main switch is fabricated from an integrated power process, the layouts can be changed to vary the parasitic, however design of switch layout is complex, fixed frequency and constant duty ratio must be maintained [5]. This converter provides high voltage gain and can be employed for high power applications however the duty ratio is limited to 0.85 [4]. In this, the energy of the leakage inductor is recycled to the output load directly, limiting the voltage spike on the main switch. To achieve a high step-up gain, it has been proposed that the secondary side of the coupled inductor can be used as boost and buck-boost converters [3-4].

- by Saurabh Dutta and +1
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- MPPT FUZZY CONTROLLER, MPPT method for photovoltaic, Condition monitoring of power transformers

This article presents a smart approach optimization performance of a photovoltaic pumping system (PVPS) coupled to a module of ultrafiltration membrane to water by the use of a fuzzy controller for power for obtaining a better drinking water flow. The complete system, operating over the Sun is and simulated on Matlab/Simulink is a system PV-boost/MPPT-fuzzy/MLI-inverter/MLI-motor-pump/ Membrane ultrafiltration module. The boost converter (IGBT) switch is controlled by a fuzzy controller that adjusts the duty cycle regularly depending on the climatic conditions and ensures the operation of the complete system at the point of maximum power, allowing the Group motor-pump-module to ultrafiltration to deliver a flow and a pressure of drinking water superior to the system using the MPPT-P&O controller.

- by GJESR Journal and +1
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- Fuzzy Logic, MPPT FUZZY CONTROLLER, Ultrafiltration membrane, Boost Converter

Variable speed wind turbines are commonly used as wind power generation systems because of their lower maintenance cost and flexible speed control. The optimum output power for a wind turbine can be extracted using maximum power point tracking (MPPT) strategies. However, unpredictable parameters, such as wind speed and air density could affect the accuracy of the MPPT methods, especially during the wind speed small oscillations. In this paper, in a permanent magnet synchronous generator (PMSG), the MPPT is implemented by determining the uncertainty of the unpredictable parameters using the extended Kalman filter (EKF). Also, the generator speed is controlled by employing a fuzzy logic control (FLC) system. This study aims at minimizing the effects of unpredictable parameters on the MPPT of the PMSG system. The simulation results represent an improvement in MPPT accuracy and output power efficiency.

- by Seyed Soheil Mousavi Ajarostaghi
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- Engineering, Fuzzy Logic Control, Fuzzy Control, Kalman Filter

Traditional regulators, PI, PD and PID in closed loop, are widely used in several applications of power electronics; however recently, there are many researchers who adopted with success in their applications many controllers with artificial intelligence and in particular the fuzzy logic. We are interested in this work to regulate the output voltage of the BOOST converter, precisely our goal is to have a constant output voltage equal to a given reference value quickly and without delay. We are particularly interested in the simulation and control of an autonomous photovoltaic system operating at its maximum power, which supplies a resistive load. The photovoltaic system studied is equipped with a BOOST converter (DC-DC) controlled by a fuzzy MPPT system, which allows it to follow the PPM provided by the photovoltaic panel.

- by Nassim GUERNOUDJ
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- Fuzzy Logic, Artificial Inteligent, MPPT FUZZY CONTROLLER, Photovoltaic system

Thermoelectric generation technology is considered to be one of the viable methods to convert waste heat energy directly into electricity. The utilization of this technology has been impeded due to low energy conversion efficiency. This paper aims to improve the energy conversion efficiency of the thermoelectric generator (TEG) model with a novel maximum power point tracking (MPPT) technique. A variable fractional order fuzzy logic controller (VFOFLC)-based MPPT technique is proposed in the present work in which the operating point of the TEG is moved quickly towards an optimal position to increase the energy harvesting. The fraction order term α, introduced in the MPPT algorithm, will expand or contract the input domain of the fuzzy logic controller (FLC to shorten the tracking time and maintain a steady-state output around the maximum power point (MPP). The performance of the proposed MPPT technique was verified with the TEG model by simulation using MATLAB /SIMULINK software. Then, the overall performance of the VFOFLC-based MPPT technique was analyzed and compared with Perturb and observe (P&O) and incremental resistance (INR)-based MPPT techniques. The obtained results confirm that the proposed MPPT technique can improve the energy conversion efficiency of the TEG by harvesting the maximum power within a shorter time and maintaining a steady-state output when compared to other techniques.

Photovoltaic (PV) system isa renewable form of energy, using direct sunlight and converting it into electrical power PV cells which are coupled as an array to generate usable electrical energy constitute the most critical parts of this system. Electronic converters are required to transform the output of system current &voltage into an appropriate form if consider the situation of system load & its requirements. The electronic converter more typically employed is a DC-DC converter with a solar cell low voltage generating high voltage. This paper looks at the DC/DC converters & PV system with references to both cases: the first case is, The design of the system as a loop system closed in the first case because the system's scenario is dependent on an different types of algorithm separately for MPPT, that captures the sunlight higher amount to produce the highest optimized electrical power. Although the system was created with MPPT in mind, the simulation was carried out with different a controller such as P&O, PSO, Inc and fuzzy logic. The simulation& execution results for such instances are shown to demonstrate the ability of o/p voltage to return to steady-state if the input voltage impact changed. There is also evidence of a brief settling time & overshoot in the output voltage return and comparative result shown that PSO and fuzzy algorithm found accepted results means best result compassion with the existing algorithm. This optimization was carried out with the assistance of MATLAB 2018(a)

- by Mohamed Gomaa
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- Engineering, Physical sciences, MPPT FUZZY CONTROLLER, MPPT method for photovoltaic

A Maximum Power Point Tracking (MPPT) algorithm is important to increase the output efficiency of a photovoltaic (PV) generate system. This paper proposes a P&O algorithm to get the maximum efficiency. The MPPT algorithm is impossible to quickly acquire the maximum power point (MPP), and the tracking course is very difficulty under different weather conditions. The Maximum power point Tracker (MPPT) algorithm based on P&O. The algorithm uses the power as the control variable based on the perturbation and observation method. A better response for the system under rapid atmospheric condition variations like changing the temperature & insolation is obtained by increasing or by adjusting the duty cycle or the execution speed.

- by IAEME Publication
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- MPPT FUZZY CONTROLLER, Inversor PWM, Boost Converter, Igbt