Maximum Power Point Trackingfor single phase photovoltaic system using fuzzy logic (original) (raw)
Related papers
Application of fuzzy logic technique to track maximum power point in photovoltaic systems
Indonesian Journal of Electrical Engineering and Computer Science, 2022
The use of photovoltaic (PV) systems for generating electric power is increasing in our everyday lives but since the generated voltage and current vary non linearly it has been very difficult to trace the maximum power point (MPP) of the PV systems so to overcome with this problem many power tracking methods were introduced out of which fuzzy logic technique was found to be one of the easy and efficient maximum power point tracking (MPPT) method. In this paper, various MPPT algorithms are observed how they help in improving the efficiency of PV systems by adjusting the duty ratio of the power interface, and also understand why the fuzzy logic control (FLC) technique is preferred over other algorithms. The system was established using MATLAB/Simulink.
Fuzzy Logic based Maximum Power Point Tracker for a PV System
In this age of depleting fossil fuels, more emphasis has to be placed on the renewable sources of energy. People are conscious about a clean and pollution free environment and thus a primary candidate in this respect would be solar energy. In this paper the maximum power point of a PV system is tracked using a fuzzy logic controller. The advantages of a fuzzy logic controller are that it is robust, doesn't require the exact knowledge of the model and is relatively simple to design. Using an FLC (fuzzy logic controller) is considered as an intelligent method of maximum power point tracking.
Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm
International Journal of Photoenergy, 2013
This paper represents a novel modeling technique of PV module with a fuzzy logic based MPPT algorithm and boost converter in Simulink environment. The prime contributions of this work are simplification of PV modeling technique and implementation of fuzzy based MPPT system to track maximum power efficiently. The main highlighted points of this paper are to demonstrate the precise control of the duty cycle with respect to various atmospheric conditions, illustration of PV characteristic curves, and operation analysis of the converter. The proposed system has been applied for three different PV modules SOLKAR 36 W, BP MSX 60 W, and KC85T 87 W. Finally the resultant data has been compared with the theoretical prediction and company specified value to ensure the validity of the system.
Realworld maximum power point tracking simulation of PV system based on Fuzzy Logic control
NRIAG Journal of Astronomy and Geophysics, 2012
In the recent years, the solar energy becomes one of the most important alternative sources of electric energy, so it is important to improve the efficiency and reliability of the photovoltaic (PV) systems. Maximum power point tracking (MPPT) plays an important role in photovoltaic power systems because it maximize the power output from a PV system for a given set of conditions, and therefore maximize their array efficiency. This paper presents a maximum power point tracker (MPPT) using Fuzzy Logic theory for a PV system. The work is focused on the well known Perturb and Observe (P&O) algorithm and is compared to a designed fuzzy logic controller (FLC). The simulation work dealing with MPPT controller; a DC/DC Ć uk converter feeding a load is achieved. The results showed that the proposed Fuzzy Logic MPPT in the PV system is valid.
A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems
International Journal of Hydrogen Energy
Maximum power point tracking (MPPT) techniques are considered a crucial part in photovoltaic system design to maximise the output power of a photovoltaic array. Whilst several techniques have been designed, Perturb and Observe (P&O) is widely used for MPPT due to its low cost and simple implementation. Fuzzy logic (FL) is another common technique that achieves vastly improved performance for MPPT technique in terms of response speed and low fluctuation about the maximum power point. However, major issues of the conventional FL-MPPT are a drift problem associated with changing irradiance and complex implementation when compared with the P&O-MPPT. In this paper, a novel MPPT technique based on FL control and P&O algorithm is presented. The proposed method incorporates the advantages of the P&O-MPPT to account for slow and fast changes in solar irradiance and the reduced processing time for the FL-MPPT to address complex engineering problems when the membership functions are few. To evaluate the performance, the P&O-MPPT, FL-MPPT and the proposed method are simulated by a MATLAB-SIMULINK model for a grid-connected PV system. The EN 50530 standard test is used to calculate the efficiency of the proposed method under varying weather conditions. The simulation results demonstrate that the proposed technique accurately tracks the maximum power point and avoids the drift problem, whilst achieving efficiencies of greater than 99.6%.
Maximum Power Point Tracking Method Based Fuzzy Logic Control for Photovoltaic Systems
2017
Maximum Power Point Tracking (MPPT) techniques are most famous application in photovoltaic system to track the maximum power of the PV system. Usually, most of maximum power point tracking algorithms used fixed step and two variables: the photovoltaic (PV) array voltage (V) and current (I). Therefore both PV array current and voltage have to be measured. The maximum power point trackers that based on single variable (I or V) have a great attention due to their simplicity and ease in implementation, compared to other tracking techniques. With traditional perturb and observe algorithm based on two variable (I and V) using fixed iteration step-size, it is impossible to satisfy both performance requirements of fast response speed and high accuracy during the steady state at the same time. To overcome these limitations a new algorithm based on single variable method with variable step size has been investigated which has been implemented using fuzzy logic control. The proposed method has...
International journal of engineering. Transactions A: basics, 2018
In this paper, we present a modeling and implementation of new control schemes for an isolated photovoltaic (PV) using a fuzzy logic controller (FLC). The PV system is connected to a load through a DC-DC boost converter. The FLC controller provides the appropriate duty cycle (D) to the DC-DC converter for the PV system to generate maximum power. Using FLC controller block in MATLAB TM /Simulink environment simplifies its implementation. However, all the parameters of the FLC blocks are not accessible and can not be modified without redesigning it each time, causing the loss of considerable time to control our system. To avoid these drawbacks and to simplify both the access and the plot of all blocks, a modelisation of FLC membership's functions has become a necessity. The simulation and experimental tests on a PV system show that the FLC provides a good tracking of the maximum power point (MPPT). Finally, we have evaluated the operation of the FLC on a real system consisting of a photovoltaic panel (BP580) model and have implemented the control strategy on a digital signal processor dSPACE DS1104.
Real world Maximum Power Point Tracking Based on Fuzzy Logic Control
2014
In the recent years, the solar energy becomes one of the most important alternative sources of electric energy, so it is important to improve the efficiency and reliability of the photovoltaic (PV) systems. Maximum Power Point Tracking (MPPT) plays an important role in photovoltaic power systems because it maximize the power output from a PV system for a given set of conditions, and therefore maximize their array efficiency. This paper presents a Maximum Power Point Tracker (MPPT) using fuzzy logic theory for a PV system. The work is focused on the well known Perturb and Observe (P&O) algorithm and is compared to a designed Fuzzy Logic Controller (FLC). The simulation work dealing with MPPT controller; a DC/DC Ćuk converter feeding a load is achieved. The results showed that the proposed Fuzzy Logic MPPT in the PV system is valid. Key-Words: Solar Energy, Photovoltaic system, Fuzzy Logic Control, Maximum Power Point Tracking (MPPT).
IMPLEMENTATION OF FUZZY LOGIC MAXIMUM POWER POINT TRACKING CONTROLLER FOR PHOTOVOLTAIC SYSTEM
In this study, simulation and hardware implementation of Fuzzy Logic (FL) Maximum Power Point Tracking (MPPT) used in photovoltaic system with a direct control method are presented. In this control system, no proportional or integral control loop exists and an adaptive FL controller generates the control signals. The designed and integrated system is a contribution of different aspects which includes simulation, design and programming and experimental setup. The resultant system is capable and satisfactory in terms of fastness and dynamic performance. The results also indicate that the control system works without steady-state error and has the ability of tracking MPPs rapid and accurate which is useful for the sudden changes in the atmospheric condition. MATLAB/Simulink software is utilized for simulation and also programming the TMS320F2812 Digital Signal Processor (DSP). The whole system designed and implemented to hardware was tested successfully on a laboratory PV array. The obtained experimental results show the functionality and feasibility of the proposed controller.