Comparison Between Different Algorithms for Maximum PPT in Photovoltaic Systems and its Implementation on Microcontroller

This paper presents the practical implementation of fuzzy logic control algorithm for maximum power point tracking (MPPT) in photovoltaic (PV) systems. A prototyping PV system is implemented with a boost DC-DC converter using Microchip® PIC18F452 microcontroller to execute the MPPT algorithms. The common algorithms like perturbation and observation (P&O) and incremental conductance (IncCon.) as well as the proposed fuzzy logic control algorithm are implemented and tested under different conditions, and the test results are analyzed and compared. The results show that the proposed fuzzy logic control algorithm can give better performance than perturbation and observation and incremental conductance algorithms. Keywords: Photovoltaic, Maximum power point tracking, Fuzzy logic control, Microcontrollers

MAXIMUM POWER POINT TRACKING BERBASIS FUZZY LOGIC CONTROLLER PADA SISTEM PHOTOVOLTAIC

Maximum Power Point Tracking (MPPT) merupakan sebuah teknik kontrol untuk mencari titik daya maksimum yang dihasilkan oleh sistem photovoltaic. Skripsi ini menjelaskan tentang desain dan simulasi MPPT berbasis Fuzzy Logic Controller pada sistem photovoltaic. Tujuan dari penelitian ini yaitu untuk mengetahui kinerja MPPT, efisiensi dari penggunaan MPPT, dan perbedaan antara penggunaan MPPT pada beban R dan baterai dalam berbagai kondisi. Alasan utama dilakukannya penelitian ini karena penggunaan photovoltaic secara langsung tidak dapat menghasilkan daya yang maksimum dalam kondisi tertentu. Topologi yang digunakan pada perancangan MPPT adalah buck konverter. Fuzzy Logic Controller digunakan sebagai pengatur nilai duty cycle pada buck konverter. Baterai dimodelkan secara rangkaian ekuivalen menggunakan pemodelan tremblay. Perangkat lunak yang digunakan adalah PSIM sebagai rangkaian utama dan Simulink sebagai rangkaian kontrol yang dihubungkan oleh SimCoupler. Hasil simulasi menunjukan bahwa MPPT berbasis Fuzzy Logic Controller memiliki kinerja yang baik dalam berbagai kondisi. Hal tersebut ditunjukkan oleh daya yang dihasilkan dari sistem photovoltaic hampir mencapai nilai maksimum. Nilai efisiensi rata-rata yang dihasilkan dengan memasang beban R pada suhu yang bervariasi adalah 99,85%, dan pada iradiasi yang bervariasi adalah 98,71%, sedangkan dengan memasang baterai pada suhu yang bervariasi adalah 98,81%, dan pada iradiasi yang bervariasi adalah 99,01%. Perbedaan antara penggunaan MPPT pada beban R dan baterai dapat ditinjau dari arus dan tegangan yang dihasilkan, Kata kunci: Maximum Power Point Tracking (MPPT), Pengendali Logika Fuzzy, Photovoltaic, Baterai Tremblay Model, SimCoupler, Maximum Power Point Tracking (MPPT) is a control technique for finding the maximum power point generated by photovoltaic system. This thesis presents the design and simulation of MPPT based on Fuzzy Logic Controller for Photovoltaic system. The aim of this study is to explain the performance of MPPT, efficiency of MPPT, and differences between the use of MPPT on R load and battery in various conditions. The main reason of this study is because the use of photovoltaic directly cannot produce maximum power under certain conditions. The design of MPPT is using buck converter topology. Fuzzy Logic Controller is used to control duty cycle value on the buck converter. Batteries are modeled in equivalent circuits using tremblay model. PSIM is used as the main circuit and Simulink as the control circuit connected by SimCoupler. Simulation results show that MPPT based on Fuzzy Logic Controller has a good performance in various conditions. It is because the power that generated by the photovoltaic system almost reaches the maximum value. The resulting average efficiency value on a system with R load in temperature varies is 99.85%, and in irradiance varies is 98.71%, while on a system with battery in temperature varies is 98.81%, and in irradiance varies is 99.01%.The differences between the use of MPPT on R load and battery can be observed from the resulting of current and voltage, Keywords: Maximum Power Point Tracking (MPPT), Fuzzy Logic Controller (FLC), Photovoltaic, Tremblay Battery Model, SimCoupler

Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MPPT) for PV Application

This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power.  The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system

Maximum Power Point Tracking Control for Photovoltaic System Using Adaptive Neuro- Fuzzy "ANFIS"

International audienceDue to scarcity of fossil fuel and increasing demand of power supply, we are forced to utilize the renewable energy resources. Considering easy availability and vast potential, world has turned to solar photovoltaic energy to meet out its ever increasing energy demand. The mathematical modeling and simulation of the photovoltaic system is implemented in the MAT LAB/Simulink environment and the same thing is tested and validated using Artificial Intelligent (Al) Iike AN FIS. This paper presents Maximum Power Point Tracking Control for Photovoltaic System Using Adaptive Neuro- Fuzzy "ANFIS". The PV array has an optimum operating point to generate maximum power at some particular point called maximum power point (MPP). To track this maximum power point and to draw maximum power from PV arrays, MPPT controller is required in a stand-alone PV system. Due to the nonlinearity in the output characteristics of PV array, it is very much essential to track the MPPT of the PV array for varying maximum power point due to the insolation variation. In order to track the MPPT conventional controller like Adaptive Neuro-Fuzzy "ANFIS" and fuzzy logic controller is proposed and simulated. The output of the controller, pulse generated from PWM can switch MOSFET to change the duty cycle of boost DC-DC converter. The result reveals that the maximum power point is tracked satisfactorily for varying insolation condition

Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control

Photovoltaic (PV) systems has received great attention in research for generating renewable energy due to its advantages over fossil based energy in terms of sustainability, environmental friendliness and price stability. However, the widespread use of PV meets several challenges such as increasing the efficiency of PV conversion. Another drawback of PV system is that it does not provide a constant energy source because its output power changes with temperature and irradiation or insulation. PV modules have unique current versus voltage characteristics. From the I-V characteristics, PV systems must be operated at a maximum power point (MPP) of specific current and voltage values so as to increase the PV efficiency. For any PV system, the output power can be increased by tracking the MPP of the PV module by using a controller connected to a boost converter. An important consideration in increasing the efficiency of PV systems is to operate the system near maximum power point (MPP) so as to obtain the approximately maximum power of PV array. To achieve maximum energy produced by a PV array, maximum power point tracking (MPPT) techniques are used. The position of the MPP is unknown but can be traced by using an MPPT To overcome this problem, Maximum Power Point Tracker DCDC Boost convertor are developed using Fuzzy Logic Control. The Fuzzy Logic Controller and the MPPT it self are being represented and implimented using Mathlab Simulink

Evolution engine technology in exhaust gas recirculation for heavy-duty diesel engine

In this present year, engineers have been researching and inventing to get the optimum of less emission in every vehicle for a better environmental friendly. Diesel engines are known reusing of the exhaust gas in order to reduce the exhaust emissions such as NOx that contribute high factors in the pollution. In this paper, we have conducted a study that EGR instalment in the vehicle can be good as it helps to prevent highly amount of toxic gas formation, which NOx level can be lowered. But applying the EGR it can lead to more cooling and more space which will affect in terms of the costing. Throughout the research, fuelling in the engine affects the EGR producing less emission. Other than that, it contributes to the less of performance efficiency when vehicle load is less

Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation

Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and year. The biggest challenge is to obtain the maximum power from PV array at varying insolation levels. The maximum power point tracking (MPPT) controller, in association with tracking algorithm will act as a principal element in driving the PV system at maximum power point (MPP). In this paper, the simulation model has been developed and the results were compared for perturb and observe, incremental conductance, extremum seeking control and fuzzy logic controller based MPPT algorithms at different irradiation levels on a 10 KW PV array. The results obtained were analysed in terms of convergence rate and their efficiency to track the MPP.Keywords: Photovoltaic system, MPPT algorithms, perturb and observe, incremental conductance, scalar gradient extremum seeking control, fuzzy logic controller.Article History: Received 3rd Oct 2016; Received in revised form 6th January 2017; Accepted 10th February 2017; Available onlineHow to Cite This Article: Naick, B. K., Chatterjee, T. K. & Chatterjee, K. (2017) Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation. Int Journal of Renewable Energy Development, 6(1), 65-74.http://dx.doi.org/10.14710/ijred.6.1.65-7

Cakar ayam shaping machine

Cakar ayam (Figure 7.1) is one of the Malay traditional cookies that are made from sliced sweet potatoes deep-fried in the coconut candy. In current practice of moulding the cookies, the fried sweet potatoes are molded using traditional manual tools, which are inefficient and less productive for the mass production purposes. “Kuih cakar ayam” associated with the meaning of the idiom means less messy handwriting has a somewhat negative connotation .This cookies may just seem less attractive in shape but still likeable . In fact, this cookie is considered a popular snack even outside the holiday season. The choice of the name of this cookie is more to shape actually resembles former chicken scratches made by the paw the ground while foraging. The value of wisdom, beauty and creativity of the Malays is clearly evident through the Malay cookie. Although it is attacked by the invention of modern cakes that look far more interesting, these cakes will be able to survive a long time until now

Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter

This study presents an adaptive perturb and observe (P&O)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. P&O is known as a very simple MPPT algorithm and used widely. Fuzzy logic is also simple to be developed and provides fast response. The proposed technique combines both of their advantages. It should improve MPPT performance especially with existing of noise. For evaluation and comparison analysis, conventional P&O and fuzzy logic control algorithms have been developed too. All the algorithms were simulated in MATLAB-Simulink, respectively, together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter. For hardware implementation, the proposed adaptive P&O-fuzzy control MPPT was programmed in TMS320F28335 digital signal processing board. The other two conventional MPPT methods were also programmed for comparison purpose. Performance assessment covers overshoot, time response, maximum power ratio, oscillation and stability as described further in this study. From the results and analysis, the adaptive P&O-fuzzy control MPPT shows the best performance with fast time response, less overshoot and more stable operation. It has high maximum power ratio as compared to the other two conventional MPPT algorithms especially with existing of noise in the system at low irradiance

Power Quality Enhancement in Hybrid Photovoltaic-Battery System based on three–Level Inverter associated with DC bus Voltage Control

This modest paper presents a study on the energy quality produced by a hybrid system consisting of a Photovoltaic (PV) power source connected to a battery. A three-level inverter was used in the system studied for the purpose of improving the quality of energy injected into the grid and decreasing the Total Harmonic Distortion (THD). A Maximum Power Point Tracking (MPPT) algorithm based on a Fuzzy Logic Controller (FLC) is used for the purpose of ensuring optimal production of photovoltaic energy. In addition, another FLC controller is used to ensure DC bus stabilization. The considered system was implemented in the Matlab /SimPowerSystems environment. The results show the effectiveness of the proposed inverter at three levels in improving the quality of energy injected from the system into the grid.Peer reviewedFinal Published versio