MPPT FUZZY CONTROLLER Research Papers (original) (raw)

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)

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- MPPT FUZZY CONTROLLER, DC to DC Converter, Pv System, Particle Swarm Optimization PSO)

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.

The significant intention of the study is to identify the appropriate manner of solar energy harvesting system for Wireless Sensor Network (WSN). The literature review includes various traditional research approaches and their demerits in the context of WSN. Solar power generation has tremendous progress due to its renewable, eco-friendly, low maintenance, and noise-free nature. Although, the solar energy having notable benefits, certain drawbacks like the performance of solar power generation purely depend on weather conditions, such as ambient temperature and solar irradiance. The literature illustrates, it is essential to equipped Maximum Power Point Tracking (MPPT) to extract maximum power from PV module. Various traditional approaches such as P & O, INC, etc. are inadequate to resolve the computational constraints of identifying the appropriate duty cycle to trigger the DC to DC converters. The review exhibits the performance and approaches of the MPPT controller in the context of improving the efficiency of the solar energy harvesting system for WSN.

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.

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

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

This project proposes an electric vehicle charging station composed of photovoltaic (PV) array, DC-DC converter provided with MPPT control, energy storage unit, DC charger and inverter. The plug-in hybrid electric vehicles(PHEVs) and electric vehicles (EVs) represent an important step in solving environmental problems and emission of greenhouse gases. The integration of renewable energy and public grid utility is increasing and its associated energy management system makes attention. This project focuses on PV grid-connected system control strategy, which allows the feeding of a Battery Electric Vehicle (BEV). The system is presented as several subsystems: PV array, DC-DC converter provided with MPPT control, energy storage unit, DC charger and inverter, electric vehicle as load and public grid utility.

This paper provides a smart photovoltaic (PV) inverter control strategy. The proposed controllers are the PV-side controller to track the maximum power output of the PV array and the grid-side controller to control the active and reactive power delivered to the electric grid through the inverter. A Volt-VAR regulator is proposed for controlling the reactive power exchange with the grid according to the voltage at the point of common coupling (PCC). The gains of the proposed proportional-integral (PI) controllers are optimized using a genetic algorithm (GA) via adaptive online tuning. The control methodology is then tested to a 33-bus radial distribution network under MATLAB/SimPowerSystem environment to prove the validity of the proposed control methodology and to analyze the interactions between the PV-based distributed generation (DG) and the power network. The optimal control of PV inverters demonstrated that the optimized Volt-VAR control strategy is both efficient and effective. The optimization of the PI controller parameters resulted in a good dynamic response under varying climatic conditions. The proposed control method enables the most efficient utilization of PV-DG systems by extracting maximum power and contributing to grid voltage support.

- by Redouane Marouane
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- Fuzzy Logic, Fuzzy Logic Programming, MPPT FUZZY CONTROLLER, électronique

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

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

A multilevel boost converter (MLBC) with fractional order- proportional integral (FO-PI)-based perturb and observe (P&O) maximum power point tracking (MPPT) controller is proposed to enhance the performance of photovoltaic (PV) systems. Two control schemes for the MLBC were investigated: i) MLBC with FO-PI-based P&O MPPT controller and ii) MLBC with only P&O MPPT controller. The simulation results, carried out using MATLAB/SIMULINK package, show that the performance of the MLBC with FO-PI-based P&O MPPT controller much over weights that of the MLBC with only P&O MPPT controller in terms of rise time, peak overshoot and settling time. These results indicate that the proposed system constitutes a good candidate for implementation in PV applications, in order to extract maximum electric power and to supply high output voltage to the load.

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 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

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

In this work, an Adaptive Fuzzy Logic Controller is studied to optimize the transfer of the power provided by a photovoltaic generator. The adaptation process is carried out online in two tasks: the adaptation of the rules consequences and the self-organization of the internal structure of the Fuzzy Controller. In comparison with two types of traditional controls, the performance of the controller studied is validated. The simulation results show that the controller studied makes it possible to reduce the response time by 3 % compared to the conventional controller, and minimizes the steady-state error by eliminating the phenomenon of oscillation around the PPM and that the proposed controller exhibits good behavior with a wide range of power

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.

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

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

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

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

The photovoltaic energy is one of the renewable energies that has attracted the attention of researchers in the recent decades. The photovoltaic generators exhibit nonlinear I-V and P-V characteristics. The maximum power produced varies with solar insolation and temperature. It requires maximum power point tracking (MPPT) control techniques to extract the maximum available power from PV arrays. Due to partial shading condition, the characteristics of a PV system considerably change and often exhibit several local maxima with one global maxima. Conventional Maximum Power Point Tracking techniques can easily be trapped at local maxima under partial shading. This significantly reduced the energy yield of the PV systems. In this paper, various MPPT algorithms for uniform insolation and partial shading conditions are reviewed with their merits and demerits. Also, some new algorithms are proposed which are shown to be more efficient than the existing ones.