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Nowadays, thermo electrical (TE) modules are increasingly popular because their prices go down and new potential applications have emerged. This paper presents modeling, simulation, and control of the power generation of a thermoelectric generator (TEG) using Matlab/Simulink. To get the aim of maximizing the power from the TEG, an MPPT controller based on sliding mode control (SMC) was implemented...
The performance of the photovoltaic panel is significantly affected by various environmental factors, due to these changes there is little chance to operate the PV module at its maximum power point when using Perturb and Observe (P&O) algorithm. Hence, an intelligent controller is designed employing ANFIS which draws much energy and fast response. The current work proposes an artificial-intelligence...
Each solar cell has a characteristic current-voltage (IV) curve reflecting its response to both temperature and the incident light level. The key component providing efficiency is the converter, which generates power compatible with consumers. The converter must be adjusted according to the changing conditions of the solar cell array. This is generally achieved using the algorithmic method for continuous...
A fractional-order fuzzy logic control (FOFLC) method for maximum power point tracking (MPPT) in a photovoltaic (PV) system is presented. By combining the robustness of fuzzy logic with the accuracy of fractional order, the proposed method can improve the tracking accuracy in weather variations compared with the conventional fuzzy MPPT. First, the fractional-order factor is carefully selected according...
Solar photovoltaic technology is considered as one of the pure and clean technologies to produce electricity, but seems unattractive towards the use of it as a complement of electricity due to its low efficiency and high initial cost. As a result of its low efficiency it is nearly impossible to exploit the maximum solar power coming out of array therefore at its highest energy conversion output it...
In this paper, the rooftop Solar Photo Voltaic system emphasizes another of source of generation because these can be placed near to the load centers when compared with other non-conventional energy sources of generation. The rooftop Photovoltaic system that is grid connected will support on load and the off grid load with battery backup. The design system should follow that the total utilization...
The conversion of solar energy into electrical energy is being increasingly encouraged and adopted for various applications. However the power output of solar photovoltaic modules is dependent on the load in addition to the environmental factors like radiation and temperature. It is thus essential to track the maximum power point on the non-linear I-V curve of a module to extract maximum possible...
In this paper conventional and advance Maximum Power Point Tracking (MPPT) techniques are introduced and compared. Three techniques named Modified Perturb and Observe (MP&O), Artificial Neural Network (ANN) and Fuzzy Logic Controller are considered for comparison purpose. Comparative analysis is borne out in terms of power and voltage from photo voltaic (PV) module using various MPPT techniques...
This paper presents the design of a control strategy for Hybrid Photovoltaic — Battery Generator for Onboard Automotive Application. The proposed strategy is based on maximum power point tracking (MPPT) controller using adaptive fuzzy logic approach combined with an energy management supervisor in order to ensure system efficiency under variation of operating conditions: load requirements, meteorological...
Maximum power point tracker is the controller technique used in the solar photo voltaic array to increase their efficiency. Maximum power point tracking helps us to maximize the output from solar pv array under different weather (temperature & irradiance) conditions. In this paper we have done MPPT using P & O method and also using Fuzzy Logic Controller. The maximum power point tracking using...
As energy demand is increasing rapidly, our deployment must be tending towards Renewable Energy Sources (RES), in order to meet the demand. Photovoltaic (PV) is one of the most focused RES due to plenty than other sources. Before serving to the load, the generated power by solar array is treated electronically and this process is called 'power conditioning'. In power conditioning, two major functions...
This paper makes a comparison between two control methods for maximum power point tracking (MPPT) of a photovoltaic (PV) system under varying irradiation and temperature conditions: the fuzzy logic and the neural network control. Both techniques have been simulated and analyzed by using Matlab/Simulink software. The power transitions at varying irradiation and temperature conditions have been simulated...
The maximum power point tracker/controller extracts maximum power from the PV module. Therefore, an intensive research has been going on to design an effective and efficient method to transfer maximum power from PV module to load. This paper presents an overview of some classical MPPT methods such as Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic Controller (FLC) and introduces...
In this paper, a fuzzy controller applied to variable-speed drive for the use in direct-coupled photovoltaic (PV) pumping systems is proposed. The fuzzy logic system used is of the Mandani type, embedded in a microcontroller, and corresponds to a proportional-derivative controller. A low-power PV module is used to detected variations in the irradiance incident on the PV array. Experimental tests are...
Solar power is the abundantly available and mostly unused source of renewable energy. Photovoltaic (PV) cells are used to track the sun's energy and convert it into electrical energy. PV cells have non-linear voltage-current characteristics. To track the maximum power from the panels different techniques are used, called Maximum Power Point Tracking (MPPT) techniques. Many MPPT techniques are introduced...
To make full utilization of PV array, maximum power point tracking (MPPT) techniques are employed, which controls the power converter between the PV panel and the load to keep the system power operating point at its maximum. Perturbation and observation (P&O) method is the most frequently used method for MPPT, however, with smaller step size system taking long time to track MPP, with larger step...
The Photovoltaic cell is considered as one of the most promising devices in photovoltaic generation. It is used to convert solar energy into electrical energy. Nowadays, Photovoltaic generation is developing more rapidly as a renewable energy source. But, the drawback is that Photovoltaic generation is discontinuous because of it depends on the weather conditions. This paper offers an intelligent...
This paper describes an approach to MPPT PV system based on sliding mode and fuzzy logic controllers. Due to the non-linear characteristic of the output, fuzzy logic control and sliding mode are introduced to achieve MPPT. The simulation is carried out based on proposed algorithm. Compared with the conventional duty cycle of P&O method, they can track de maximum power point quickly and accurately.
For the best exploitation of various renewable energy resources, it is important to improve the efficiency and reliability of the GPV photovoltaic systems. The maximum power point tracking (MPPT) has an important role in the performance of the photovoltaic power systems. We present in this paper a new technique of control bazed on the fuzzy logic algorithm for solar panel. The GPV photovoltaic systems...
Over many years, a number of tracking control methods of the maximum power point (MPPT) from the photovoltaic (PV) systems have been developed. The performances of these methods under varying environmental conditions vary in terms of energy capture, conversion efficiency, response time and reliability. This paper presents a comparative analysis between different MPPT, that are perturb-and-observe...
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