- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Fuzzy logic control for a grid-connected PV array through Z-source-inverter using maximum constant boost control method
摘要： The paper presents an alternative scheme using fuzzy logic methodology to control a grid-connected photovoltaic system through ZSI using MCBC method. The system model and control are implemented using MATLAB-SIMULINK simulation toolbox. In view of control, Fuzzy Logic Controllers (FLCs) are designed to enhance the system stability. To ensure a unity power factor operation, the inverter modulation index is controlled to manage the phase current of the grid. Also, the control in the shoot-through ratio controls the output voltage of the PV array, so the maximum power (MP) is extracted. The simulation results using FLCs are compared with others obtained using Proportional Integral (PI) controllers. This is under the same normal operating and transient conditions which are irradiation variation, three-phase short circuit fault at point of connection and voltage variation of the grid. The simulation results of FLCs achieve supplementary enhancement of the system stability over various operating conditions.
关键词： ZSI,MCBC,MP,FLC,Shoot-through,PV array
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
-
Switched Capacitor-Coupled Inductor DCa??DC Converter for Grid-Connected PV System using LFCSO-Based Adaptive Neuro-Fuzzy Inference System
摘要： In this paper, the Levy °ight-based chicken swarm optimization (LFCSO) is proposed to follow the highest power of grid-joined photovoltaic (PV) framework. To analyze the grid-associated PV framework, the characteristics of current, power, voltage, and irradiance are determined. Because of the low yield voltage of the source PV, a big advance up converter with big productivity is required when the source PV is associated with the matrix power. A tale great advance up converter dependent on the exchanged capacitor and inductor is illustrated in this paper. The LFCSO algorithm with the adaptive neuro-fuzzy inference system is used to generate the control pulses of the transformer-coupled inductor DC–DC converter-less switched capacitor. While using the switched capacitor-coupled inductor, the voltage addition is expanded in the DC–DC converter and the power of PV is maximized. Here, the normal CSO algorithm is updated with the help of Levy °ight functions to generate optimal results. To get the accurate optimal results, the output of the proposed LFCSO algorithm is given as the input of the ANFIS technique. After that, the optimal results are generated and they provide the pulses for the system. The working guideline is analyzed and the voltage addition is derived with the utilization of the proposed technique. From that point forward, it predicts the exact maximum power of the converter according to its inputs. Under the variety of solar irradiance and partial shading conditions (PSCs), the PV system is tested and its characteristics are analyzed in di?erent time instants. The proposed LFCSO with ANFIS method is actualized in Simulink/MATLABstage, and the tracking executing is examined with a traditional method such as genetic algorithm (GA), perturb and observe (P&O) technique–neuro-fuzzy controller (NFC) and fuzzy logic controller (FLC) technique.
关键词： irradiance,Levy °ight-based chicken swarm optimization algorithm,partial shading conditions,transformer-less switched capacitor-coupled inductor DC–DC converter voltage,current,power,grid-connected PV,GA-NFC and FLC methods
更新于2025-09-23 15:19:57
-
[IEEE 2020 5th International Conference on Devices, Circuits and Systems (ICDCS) - Coimbatore, India (2020.3.5-2020.3.6)] 2020 5th International Conference on Devices, Circuits and Systems (ICDCS) - Design And Control Strategies of Quasi a?? Z Source Inverter For Photovoltaic Power Generation Systems
摘要： The fast decreasing fossil fuel and emission of carbon dioxide pollution leads the researcher to go with alternative energy resource to utilize the power demand and leads the research in the area of power converters. This research work focused on the maximum utilization of PV systems integrated with quasi z source inverter topology. The z source inverter plays a prominent role in PV fed converter, existing much more topology are derived from z source. A few topologies like quasi z source utilizing less number of passive components. Such topology has copious advantages like, voltage boosting capability, reduced inrush current at startup, which might destroy the devices can be avoided. The research work focus on the design and control strategies of quasi z source inverter with PI and FLC controller. The setup is implemented in Matlab/Simulink and to validate the proposed module a laboratory prototype is modeled and designed with FPGA Spartan 6 with power rated 0.8kW with PV volt of 60V and ac output voltage of 220V.
关键词： PI and FLC controller,Quasi Z source inverter,performance analysis,PV panel
更新于2025-09-23 15:19:57
-
[IEEE 2019 IEEE International Conference on Engineering Veracruz (ICEV) - Boca del Rio, Veracruz, Mexico (2019.10.14-2019.10.17)] 2019 IEEE International Conference on Engineering Veracruz (ICEV) - Comparative of wind systems vs photovoltaic for the implementation in the electric network of Veracruz Port
摘要： This paper presents the results of three control strategies of managed energy services with home energy management system (HEMS)-integrated devices. The HEMS controls and monitors three types of managed devices: 1) heating; 2) task-speci?c; and 3) energy storage devices. Three approaches are proposed for the rolling optimization by the HEMS, namely, mixed integer linear programming (MILP), continuous relaxation (CR), and fuzzy logic controller (FLC). The CR approach is identi?ed to reduce the computational complexity of the MILP by changing the MILP into an LP solution. Three types of FLC control approaches are proposed, namely, heat-related FLC, task-related FLC, and FLC for the battery. Each control strategy is evaluated against cost optimization, computational resource, and practical implementation. The ?ndings in this paper show that all three algorithmic control strategies successfully perform cost optimization, even with inaccurate forecasting information.
关键词： mixed integer linear programming (MILP),fuzzy logic control (FLC),Continuous relaxation (CR),residential appliance,home energy management system (HEMS)
更新于2025-09-19 17:13:59
-
A novel MPPT technique to increase accuracy in photovoltaic systems under variable atmospheric conditions using Fuzzy Gain scheduling
摘要： Photovoltaic (PV) system has gradually become a research focus in the field of renewable energy power generation, and the output efficiency of PV system is the major concern of researchers. There are obvious non-linear characteristics in the output of PV system, and it will be greatly affected by the external environment. For achieving the maximum output power, PV system must operate under the guidance of maximum power point tracking (MPPT) methods. The tracking time and accuracy of these methods need to be improved. Therefore, this study contributes to increasing the output efficiency of PV system by improving the tracking time and accuracy with using Fuzzy Gain Scheduling of Proportional-Integral-Derivative (FGS-PID) regulator in the grid-connected mode. The suggested adaptive FGS-PID scheme is implemented using two-level control system architecture, combining the benefits of fuzzy logic as well as conventional PID regulator. Ziegler–Nichols tuning method is employed to select the initial values of PID gains. In the simulations of PV system under the varying irradiance and temperature, the tracking speed and tracking accuracy of FGS-PID (scaling factors) were higher than those of ANN, ANFIS, Fuzzy, INC, P&O, PID, and FGS-PID methods. In summary, FGS-PID (scaling factors) has better performance in tracking time and accuracy than other comparison algorithms. It can improve the output efficiency of PV system in practical application.
关键词： FLC based MPPT,Adaptive,DC-DC converter,PV system,Renewable energy
更新于2025-09-19 17:13:59
-
[IEEE 2019 Photonics North (PN) - Quebec City, QC, Canada (2019.5.21-2019.5.23)] 2019 Photonics North (PN) - Sapphire fiber Bragg grating coupled with graded-index fiber lens
摘要： This paper presents the results of three control strategies of managed energy services with home energy management system (HEMS)-integrated devices. The HEMS controls and monitors three types of managed devices: 1) heating; 2) task-speci?c; and 3) energy storage devices. Three approaches are proposed for the rolling optimization by the HEMS, namely, mixed integer linear programming (MILP), continuous relaxation (CR), and fuzzy logic controller (FLC). The CR approach is identi?ed to reduce the computational complexity of the MILP by changing the MILP into an LP solution. Three types of FLC control approaches are proposed, namely, heat-related FLC, task-related FLC, and FLC for the battery. Each control strategy is evaluated against cost optimization, computational resource, and practical implementation. The ?ndings in this paper show that all three algorithmic control strategies successfully perform cost optimization, even with inaccurate forecasting information.
关键词： mixed integer linear programming (MILP),fuzzy logic control (FLC),Continuous relaxation (CR),residential appliance,home energy management system (HEMS)
更新于2025-09-19 17:13:59
-
[ACM Press the 2019 2nd International Conference - Penang, Malaysia (2019.09.25-2019.09.27)] Proceedings of the 2019 2nd International Conference on Electronics and Electrical Engineering Technology - EEET 2019 - Comparison of an Optimized Fractional Order Fuzzy and Fuzzy Controllers Based MPPT using PSO for Photovoltaic Applications
摘要： This paper presents comparison of an improved MPPT controller using particle swarm optimization (PSO) tuned fractional order fuzzy logic controller (FO-FLC) and conventional fuzzy logic controller for photovoltaic applications. The optimization was carried out in two steps: the first step compute optimal values of scaling factors and fractional operator while the second step functions. The optimization design objective is to minimize Root Mean of Squared Error (RMSE) between a measured power and desired maximum power. The optimal fractional operator shortens the tracking time and eliminate oscillations around MPP. The evaluation of the performance of the proposed controller and the simulations were carried out and the results shows that the FO-FLC provides better performance in terms of tracking speed and accuracy at different atmospheric conditions.
关键词： Optimization,FLC,MPPT,PSO,Fractional Operator
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 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