- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation
摘要： 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 10.2 kW PV array. The results obtained were analysed in terms of convergence rate and their efficiency to track the MPP.
关键词： perturb and observe,fuzzy logic controller,scalar gradient extremum seeking control,Photovoltaic system,incremental conductance,MPPT algorithms
更新于2025-09-23 15:23:52
-
AIP Conference Proceedings [Author(s) EMERGING TRENDS IN MATHEMATICAL SCIENCES AND ITS APPLICATIONS: Proceedings of the 3rd International Conference on Recent Advances in Mathematical Sciences and its Applications (RAMSA-2019) - Noida, India (17–19 January 2019)] - Modeling and fuzzy logic control of photovoltaic-fuel cell-battery hybrid vehicle
摘要： In this paper, modelling of hybrid photovoltaic fuel cell and battery included vehicle were done apart from designing of fuzzy logic controller for the above system. Here, photovoltaic (PV) generator and proton exchange membrane fuel cell (PEMFC) were connected in parallel that is further connected to the battery (which is used as an energy reservoir). Modelling was done using Simulink? software; and different models of PV, PEMFC and battery had been done using the defining equation available in the literature. A rule-based fuzzy logic controller was modelled in the Simulink? software. Finally, using different parameters; simulation of the complete system had been done and results were analysed.
关键词： Fuzzy Logic Controller,Hybrid Vehicle,PEMFC
更新于2025-09-23 15:23:52
-
Comparison of Performance Measures for PV based Super-Lift Luo-Converter using Hybrid Controller with Conventional Controller
摘要： The paper presents design and analyze of PV based Super-lift Luo converter with different controllers in the modern technology of DC-DC converter. The Luo converter provides output voltage which is positive from positive source voltage. By using this converter power density obtained is high with less ripple content in voltage and current profile. It is proven from the Mathematical modeling that the output voltage increases in geometric progression, thereby efficiency of the converter increases. The controller parameters in PI controller are tuned using Ziegler Nichols tuning algorithm. The paper proposes a design of hybrid controller which gives good transient performance compared with conventional PI controller. Using Simulink the proposed converter with its control circuit is implemented. The main advantage of this proposed converter based on photo voltaic system is that it produces voltages increasing in geometric progression. The converter has proved to be robustness around the operating point. In various operating condition, the dynamic performance with input voltage variations and load fluctuation is good. The simulation performance closely coincides with the theoretical analysis. The settling time and overshoot obtained using hybrid controller is compared with fuzzy controller and conventional controller and it is proven that hybrid controller has good dynamic performance. The real time implementation with solar PV cell is also carried out. The converter finds wide application in switch mode power supply and speed control of DC motors.
关键词： Photo Voltaic (PV) Cells,Fuzzy Logic Controller,PI Controller,Peak Overshoot,Super Lift Converter,Settling Time
更新于2025-09-23 15:21:01
-
[Advances in Intelligent Systems and Computing] Applications of Artificial Intelligence Techniques in Engineering Volume 698 (SIGMA 2018, Volume 1) || Predictive Control of Energy Management System for Fuel Cell Assisted Photo Voltaic Hybrid Power System
摘要： Distributed generation systems also known as hybrid power systems which involve renewable energy sources are extensively used due to their ef?ciency and green interface. Considering the varying environmental conditions, these systems are prone to many disadvantages and limitations. In order to overcome these constraints, intelligent techniques which can achieve steady process and power balance are to be implemented. This paper provides an intelligent control using fuzzy inference system and energy management algorithm for Fuel cell assisted PV Battery system. The supervisory control was implemented to achieve utmost feasible ef?- ciency despite varying conditions such as irradiance and Hydrogen levels. With Lev- elized cost being adapted, an ef?cient energy management system attributes for even power distribution throughout the day can be implemented. Our thought process was demonstrated, and ?nal software interface was simulated using MATLAB/Simulink to obtain results which con?rm the effectiveness of the developed system.
关键词： MPPT,Inference systems,Fuzzy logic controller,Energy management,Fuel cell,PVFC hybrid system
更新于2025-09-23 15:21:01
-
Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC
摘要： Maximum power point tracker (MPPT) techniques have been used to extract the maximum power available form photovoltaic (PV) energy systems. Conventional MPPT techniques like perturb and observe (P&O), hill climbing (HC), incremental conductance etc. were good enough to track the maximum power for the unshaded PV systems because it has only one power peak in the P-V curve. In the case of partial shading conditions (PSC), many peaks are created; one global maximum power point (GMPP) and many local maximum power points (LMPPs). Most of conventional MPPT techniques may stick to one of the LMPPs, which reduce the MPPT efficiency of PV systems. Soft computing techniques like particle swarm optimization (PSO), gray wolf optimization (GWO), and Cuckoo search optimization (CSO) etc. can catch the GMPP of PV system under the same PSC. These latter techniques suffer from two problems, the first problem is the high oscillations around the GMPP, the second problem is that, they cannot follow the new GMPP once it changed its position due to the searching agents will be busy around old GMPP caught. The solution of these two problems are the motivation of this research. GWO has been used to catch the GMPP and the problem of oscillations around the GMPP has been solved by hybridizing this technique with fuzzy logic controller (FLC) for soft tune the output generated power at the GMPP. The FLC characterizes by accurate GMPP catching with almost zero oscillations. The second problem is solved in this paper by re-initializing the GWO with two new initialization techniques. The results obtained from GWO-FLC with two different re-initialization techniques have been compared to the results of PSO without reinitializing its particles. The results obtained from this work prove the superior performance of the new proposed technique in terms of dynamic GMPP catching and MPPT power efficiency in case of time variant PSCs.
关键词： Global maximum power point,Fuzzy logic controller,MPPT energy efficiency,Partial shading condition,Particle swarm optimization,Grey wolf optimization
更新于2025-09-23 15:21:01
-
Comparison of Different Electric Vehicle Integration Approaches in Presence of Photovoltaic and Superconducting Magnetic Energy Storage Systems
摘要： The impacts of electric vehicles on the electrical power network in the presence of renewable energy sources and energy storage systems is a field to be studied in depth. Especially because in recent years the installation of electric vehicles has increased considerably in order to reduce the emission of CO2 and fossil fuel consumption to reach environmental cleanliness. This paper presents a comparison between the different integration methods of electric vehicles subject to the availability of photovoltaic systems and superconducting magnetic energy storage systems. Moreover, it analyses and explains the issues of power loss, voltage fluctuation, load leveling and reactive power support in the different approaches. Besides that, this study explores the role of superconducting magnetic energy storage systems in different cases. A fuzzy logic control algorithm is proposed to estimate the charging and discharging process of superconducting magnetic energy storage systems and electric vehicles. In addition, a coordinated control system is proposed to manage the power between the photovoltaic system, the electric vehicles and superconducting magnetic energy storage system as well as boost the power system performance. A whole coordinated control system based on fuzzy logic control is proposed to make the power management of the grid, EVs, SMES, and PV in an all integration approach of electric vehicles to achieve the improvements in the power system performance and maintain the reliability and sustainability of the all system components. Finally, the data analysis of the simulation results, performed by the Matlab Simulink toolbox is presented in all cases to explain the performance of the superconducting magnetic energy storage system, the control system, power losses, voltage fluctuation and reactive power support.
关键词： Fuzzy Logic Controller (FLC),Photovoltaic system (PV),Coordinated Control,Electric Vehicles (EVs),Superconducting Magnetic Energy Storage (SMES),Different Integration Approach,Power loss and Voltage Control
更新于2025-09-23 15:19:57
-
Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers
摘要： In this study, a dynamic system has been modeled to efficiently use a photovoltaic generation and control system (PVGCS) for driving of a medium power off-grid electric machine. The measures have been taken to respond to three different disturbing factors in this system. First, the photovoltaic panels selected for energy generation have a variable solar radiation effect. Second, the DC motor load at the system output is assumed to have a variable torque. Third, a variable reference voltage, which is determined even in the case of time-varying energy generation and consumption of the system, is followed with minimum error. For this purpose, a push-pull converter has been chosen as a highly flexible structure since it is predicted that it can provide stable and effective variable DC voltage at increasing and decreasing level required for DC motor. The control of the DC voltage at different levels to be provided by the push-pull converter is performed by PI, fuzzy logic, fuzzy-tuned PI, 2-DOF PI, and fractional PID logic whose coefficients are selected by appropriate methods, respectively. The system efficiency and stability under the influence of these five different advanced controllers are compared. In the case of two disturbing factors affecting the system, the difference values (errors) of the voltage generated by each selected controller with the reference voltage are determined comparatively. The studies were carried out by using dynamic system modeling in MATLAB-SIMULINK software. In addition, the results of this study proved which type of controllers is more successful in controlling systems with the second order and more instability factors and which of them responds to sudden changes in errors more quickly.
关键词： fuzzy logic controller,fuzzy-tuned PI controller,2-DOF PI controller,fractional PID controller,push-pull converter,PI controller,photovoltaic generation,DC motor
更新于2025-09-16 10:30:52
-
[IEEE 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) - Marrakech, Morocco (2019.10.28-2019.10.30)] 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) - Photovoltaic Interfaced Shunt Active Power Filter Under Online-Varying Parameters Based On Fuzzy Logic Controller And Adaptive Hysteresis Band Current Controller
摘要： This paper explores performances of the photo-voltaic plant associated with shunt active power ?lter (PV-SAPF). The model guarantees uninterrupted power quality, with the bene?t of PV power injection. In order to improve the PV-SAPF dynamics and to reduce harmonic current distortion, the control of the proposed system is based on: 1) instantaneous PQ strategy for reference harmonic term identi?cation, 2) fuzzy logic controller for the Maximum power point tracking MPPT of the PV, 3) fuzzy logic based controller for DC capacitor voltage regulation, and 4) adaptive hysteresis current controller (AHCC) for the switching signals of the PV-SAPF system. The suggested control is performed in a Matlab/Simulink environment and compared with the conventional one using P& O algorithm, proportional integral controller and a ?xed hysteresis band controller. The results show that the proposed control adapted to PV-SAPF gives low value of total harmonic distortion THD and better dynamic performance in terms of references tracking under abrupt variation of the functioning point of the nonlinear load while applying a variable PV irradiance pro?le.
关键词： Fuzzy logic controller (FLC),Adaptive hysteresis current controller (AHCC),PV-SAPF,Dynamic performance,Total harmonic distortion (THD)
更新于2025-09-16 10:30:52
-
Design of Soft Switching Interleaved Boost Converter for Photovoltaic Application
摘要： The objective of our study is to reduce the size of passive components and reduction of ripple in output voltage and input current by using interleaved soft switching dc-dc converter (interleaving action). The PV system converts solar energy into electrical energy but its output varies with variation of solar radiation and temperature. To provide impedance matching between PV and load a dc-dc converter with MPPT technique is used in PV (Photo Voltaic) Systems. This study incorporates design of the interleaved soft switching dc-dc converter for PV System by using P&O (Perturb and Observe) fuzzy logic controller. The P&O Fuzzy MPPT provides an accurate and fast converging under varying illumination and load conditions compared to conventional MPPT methods. The performance of the system is first analyzed by simulation using Matlab/Simulink software. The results of simulation were compared and analyzed.
关键词： photovoltaic system,perturb and observe,Maximum Power Point Tracking (MPPT),Fuzzy Logic Controller (FLC)
更新于2025-09-16 10:30:52
-
[IEEE 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO) - Kiev (2018.4.24-2018.4.26)] 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO) - Application of Hybrid Fuzzy Logic Controller to Keep a Standing Wave Angular Position in MEMS Rate Gyroscope
摘要： This paper considers application of fuzzy logic controller (FLC) to compensate for the Coriolis force in rate MEMS gyroscope. Comparative investigation of hybrid FLC-PI, FLC-PID and classical PI and PID controllers has been made to find advantages of any of those controllers under measurement of accumulated angle during shock and step response parameters. In this paper, from four controllers which can be used to control parameters of MEMS gyro, only one is under investigation that responsible for keeping a standing wave in the fix angular position providing accurate angle rate measurement. Hybrid controllers’ advantages in presence of noise have been shown.
关键词： shock response,step response,MEMS gyro,fuzzy logic controller
更新于2025-09-10 09:29:36