This paper puts forward to Fuzzy Logic MPPT (Maximum Power Point Tracking) method applied photovoltaic panel sourced boost converter, under variable temperature (25–60 °C) and irradiance (700–1000 W/m2) after that the PI control was applied buck converter to behave as a charge controller. The voltage and current of PV panels are nonlinear and they depend on environmental conditions such as temperature and irradiance. Variable environmental conditions cause to change voltage, current and also cause to change maximum available power of PV panels. To increase efficiency and decrease payback period of the system, it needs to operate PV panels at maximum power point (MPP). Under any environment conditions there is unique MPP. To operate PV panels at that point (MPP) there are many MPPT method in literature, FLC MPPT method was preferred in this study because, its rapid response to changing environmental conditions and not affecting by change of circuit parameters. The accuracy of FLC MPPT method used in this system to find MPP changes, from 94.8% to 99.4%. To charge a battery there are two traditional methods which are constant current (CC), and constant voltage (CV) methods. For fast charging with low loss constant current and voltage source is a need. One of the methods providing constant is PI control which used in this study. PI control is not only well developed and a simple technique but also it provides satisfactory results. The goal of this study is operating PV panel at maximum power point under variable environment conditions to increase efficiency and reduce cost and also provide appropriate current and voltage for charging battery to charge quickly, reduce losses and also increase life cycle of battery. This system was established and analyzed in MATLAB/Simulink.

PV system fuzzy logic MPPT method and PI control as a charge controller

Two of the main challenges for electric vehicle (EV) adoption include limited range and long recharge times. Ultrafast charging can help to mitigate both these concerns. However, for typical 400-V battery EVs (BEVs), the charging rate is limited by the practical cable size required to carry the charging current. To reach ultrahigh charge rates of 350 or 400 kW, 800-V BEVs are a promising alternative. However, the design of an 800-V EV requires careful new considerations for all electrical systems. This article reviews the current state of 800-V vehicle powertrain electrical design and performs an analysis of benefits, challenges, and future trends regarding multiple vehicle powertrain components. Specifically, detailed benefits and challenges related to the battery, propulsion motor, inverter, auxiliary power unit, and on- and off-board chargers are discussed.

800-V Electric Vehicle Powertrains: Review and Analysis of Benefits, Challenges, and Future Trends

This paper presents a comprehensive review of various techniques employed to enhance the low voltage ride through (LVRT) capability of the fixed-speed induction generators (FSIGs)-based wind turbines (WTs), which has a non-negligible 20% contribution of the existing wind energy in the world. As the FSIG-based WT system is directly connected to the grid with no power electronic interfaces, terminal voltage or reactive power output may not be precisely controlled. Thus, various LVRT strategies based on installation of the additional supporting technologies have been proposed in the literature. Although the various individual technologies are well documented, a comparative study of existing approaches has not been reported so far. This paper attempts to fill this void by providing a comprehensive analysis of these LVRT methods for FSIG-based WTs in terms of dynamic performance, controller complexity, and economic feasibility. A novel feature of this paper is to categorize LVRT capability enhancement approaches into three main groups depending on the connection configuration: series, shunt, and series–shunt (hybrid) connections and then discuss their advantages and limitations in detail. For verification purposes, several simulations are presented in MATLAB software to demonstrate and compare the reviewed LVRT schemes. Based on the simulated results, series connection dynamic voltage restorer (DVR) and shunt connection static synchronous compensators (STATCOM) are the highly efficient LVRT capability enhancement approaches.

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A comprehensive review of low-voltage-ride-through methods for fixed-speed wind power generators

This paper proposes Maximum Power Point Tracking (MPPT) of a photovoltaic system under variable temperature and solar radiation conditions using Fuzzy Logic Algorithm. The cost of electricity from the PV array is more expensive than the electricity from the other non- renewable sources. So, it is necessary to operate the PV system at maximum efficiency by tracking its maximum power point at any weather conditions [1]. Boost converter increases output voltage of the solar panel and converter output voltage depends upon the duty cycle of the MOSFET present in the boost converter. The change in the duty cycle is done by Fuzzy logic controller by sensing the power output of the solar panel. The proposed controller is aimed at adjusting the duty cycle of the DC-DC converter switch to track the maximum power of a solar cell array. MATLAB/Simulink is used to develop and design the PV array system equipped with the proposed MPPT controller using fuzzy logic [2][3]. The results show that the proposed controller is able to track the MPP in a shorter time with less fluctuation. The complete hardware setup with fuzzy logic controller is implemented and the results are observed and compared with the system without MPPT (Fuzzy logic controller).

Design of Fuzzy Logic based Maximum Power Point Tracking controller for solar array for cloudy weather conditions

Photovoltaic (PV) electrical power generation, as one of renewable energy source, is a technique which uses solar energy to produce electric energy The utilization of such systems is growing because of limited resources and the acute energy crisis This motivates the research community to investigate these renewable energy sources and maximize their efficiency This paper presents a literature survey from most recent achievements in maximum power tracking control AI algorithms Maximum power tracking algorithms are used to match the load resistance to the source input resistance to increase the power delivered from the photovoltaic system This paper compares between the works done in these algorithms concentrating on the AI algorithms which have proven higher efficiency in this field The paper also states the most recent contributions in each algorithm This manuscript should serve as a convenient reference for future work in maximum power tracking control

/pdf/intelligent-techniques-for-mppt-control-in-photovoltaic-k6w0zl6mqv.pdf

Intelligent Techniques for MPPT Control in Photovoltaic Systems: A Comprehensive Review

This paper presents simulation and hardware implementation of Fuzzy Logic based, grid connected photovoltaic maximum power point tracking control system using double boost converter. Contributions are made in several aspects of the whole system, including converter design, system simulation, controller programming, and experimental setup. The solar irradiation and temperature are mainly depends on the output power produced from the PV conversion process. Hence the maximum power point of PV array is tracked to maximize the efficiency of Photovoltaic system. The proposed method of this project is Maximum Power Point Tracker method based on Fuzzy Logic Controller which is applied to a stand-alone PV system. Contributions are made in several aspects of the whole system, including converter design, system simulation, controller programming, and experimental setup. By using this Fuzzy Logic Controller method we get high accuracy around the optimum point when compared to other conventional MPPT algorithms like hill climbing, incremental conductance and perturbation and observation. The proposed system consists of a standalone PV system, DC/DC Boost converters, Fuzzy Logic Controller and a load. Converter regulates voltage and current to provide a continuous maximum power to the load. The simulation results show the effectiveness of the proposed fuzzy logic controller applied for the PV system. MATLAB and Simulink were employed for simulation studies.

http://ieeexplore.ieee.org/iel7/6713708/6719080/06719126.pdf

Development of a Fuzzy Logic based, Photovoltaic Maximum Power Point tracking control system using boost converter

This paper describes the simulation model and the harmonics analysis of multi level inverters fed RL load and induction motor load. The SEIG fed Hbridge multi level inverter (MLI) for variable speed wind energy conversion systems are considered for various stand alone applications. In this paper, the SEIG fed cascaded five levels inverter for induction motor load systems are clearly explained with the help of MATLAB / SIMULINK models. The generated voltage of the wind driven self – excited induction generator (SEIG) is mainly depending on the wind velocity fluctuations, appropriate capacitance values and load conditions. The five levels cascaded inverter has interface with the wind driven self – excited induction generator (SEIG). The variable magnitude, variable frequency voltage of the generator can be controlled by choosing the proper modulation index. The simulation and harmonic analysis of the proposed inverter will be discussed and the total harmonic distortion will be evaluated.

http://ijeei.org/docs-1546721784e1aed47670db.pdf

Modeling and Analysis of Cascaded H-Bridge Inverter for Wind Driven Isolated Self – Excited Induction Generators

We report a hysteresis current controller which is used to reduce current harmonics in the wind powered SEIG system. The proposed wind energy conversion system can be modelled and the parameters are verified under the varying wind speed ranges. The overall efficiency of the system can be affected from non-linear inputs and the selection of controllers for harmonic reductions. The controller is used to control the hysteresis band in the current ripple and produced required output voltage. Hysteresis current controller is modelled and the current harmonic interruption is reduced for the wind energy system applications. The system components like Wind Driven SEIG, Rectifier and Hysteresis Current Controller are modeled using MATLAB/Simulink and the experimental results are verified.

Current Harmonics Reduction using Hysteresis Current Controller (HCC) for a Wind Driven Self-Excited Induction Generator Drives

/pdf/performance-characteristics-of-self-excited-induction-57imhdyc1n.pdf

Performance Characteristics of Self-Excited Induction Generator fed Current Source Inverter for Wind Energy Conversion Applications

This paper deals with a highly reliable electrical drive utilizing the Brushless DC Motor (BLDC). The motor is fed by Voltage source Inverter (VSI) with a dc-dc converter power factor correction circuit (PFC) as the VSI's predecessor. The Performance of two dc-dc converters (cuk and sepic as PFC) are analyzed and the results are discussed to arrive at the best suited converter. Fuzzy Logic Controller is used as the Intelligent Controller for the BLDC motor. Reliable, low cost arrangement is thus provided to achieve unity power factor and speed regulation with accuracy. The drive has been simulated using the MATLAB/Simulink environment and the performance has been studied.

M. Sasikumar

Papers

Development of a Fuzzy Logic based, Photovoltaic Maximum Power Point tracking control system using boost converter

Modeling and Analysis of Cascaded H-Bridge Inverter for Wind Driven Isolated Self – Excited Induction Generators

Current Harmonics Reduction using Hysteresis Current Controller (HCC) for a Wind Driven Self-Excited Induction Generator Drives

Performance Characteristics of Self-Excited Induction Generator fed Current Source Inverter for Wind Energy Conversion Applications

Analysis of PFC cuk and PFC sepic converter based intelligent controller fed BLDC motor drive