- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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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
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[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
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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
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[Lecture Notes in Networks and Systems] Renewable Energy for Smart and Sustainable Cities Volume 62 (Artificial Intelligence in Renewable Energetic Systems) || The MPPT Command for a PV System Comparative Study: Fuzzy Control Based on Logic with the Command “P&O”
摘要： The photovoltaic system is able to provide a maximum power to the load to a point of particular operation which is usually called as the maximum point of power (MPP); thus, it is important to use a maximum power point trackers (MPPT) to achieve the photovoltaic maximum power nevertheless the unsteady environmental conditions. The (P&O) algorithm has used to be a classical solution for the purpose of tracking the maximum power, however, there are several drawbacks in this technique such as it causes an oscillation nearby the maximum power point. To overcome the existing problems in the classical method a lot of researches have been done. This article provides an intelligent method to improve and optimize the performance of the maximum power point tracker associated with the PV array with the help of fuzzy logic technology, as well as compare its behavior by report has other techniques (P&O) used in the photovoltaic systems controls. The simulation results are developed under MATLAB/Simulink software. An extensive simulation have been done and compared with the traditional (P&O) technique under various climatic conditions to provide the effectiveness of the proposed controller.
关键词： Fuzzy logic controller (FLC),The PV system,Maximum power point tracking MPPT,Matlab/Simulink,The perturbation and observation (P&O)
更新于2025-09-04 15:30:14