Comparison of PI and FLC for AC/DC Converter using SEPIC in Renewable Energy System (original) (raw)
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Hybrid Energy System fed ANFIS based SEPIC Converter for DC/AC Loads
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In this paper, a voltage regulation system is proposed for photovoltaic energy sources (PV), using Single-Ended Primary Inductance Converter as a DC-DC converter to feed loads working with specific input voltage. The choose of SEPIC converter is due to the output voltage ripple of developed-type converters are usually small and can be lower than 2%, also it considered as a buck and boost converter and thereafter loads with lower or higher voltage could be powered. Matlab Simulink is used as environment to develop control strategies to guaranties a stable voltage at the loads terminals. Two algorithms are used to fulfill this role: A Conventional PID and PI-Fuzzy logic controller to generate the PWM signal for the SEPIC converter. Hence, to validate the work some real-time simulations are treated by implemented the control strategies on a low-cost control board: The Raspberry Pi 3 in order to manage the operation of system and collecting the simulation data. Also, and for verification purposes, several simulations were treated to verify the good behavior of the proposed system.
Hybrid Energy System Fed Anfis Based Sepic Converter for DC Loads
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This Paper mainly deals with the implementation of Adaptive Neuro Fuzzy Inference System (ANFIS) in Pulse Width Modulation control of Single Ended Primary Inductor Converter (SEPIC). Generally PID, Fuzzy techniques are being used to control DC – DC converter. This paper presents a ANFIS controller based SEPIC converter for maximum power point tracking (MPPT) operation of a photovoltaic (PV) system. The ANFIS controller for the SEPIC MPPT scheme shows a high precision in current transition and keeps the voltage without any changes represented in small steady state error and small overshoot. The proposed scheme ensures optimal use of photovoltaic (PV) array, wind turbine and proves its efficacy in variable load conditions, unity and lagging power factor at the inverter output (load) side. The performance of the proposed ANFIS based MPPT operation of SEPIC converter is compared to those of the conventional PID and Fuzzy based SEPIC converter. The results show that the proposed ANFIS ba...
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With the use of hybrid renewable sources for example solar and wind turbines, an autonomous electric power generation system based on self-sufficient electric power generation is built in order to promote a smart and ecologically friendly environment. The three-phase inverter that links this scattered generating unit to the grid is in charge of ensuring that it is properly connected to the grid. While the energy produced by the hybrid unit is being utilized, it is also being stored in the batteries so that it may be used to transport power when other sources of power are not available, such as when the grid is down. This stand-alone power conversion and storage system is being built with the aid of power electronic converters and controllers, among other components, in order to ensure balanced power flow operation. To produce PWM pulses for the generator side converter, a PI controller is utilized. On the PV side, an improved PI controller is used to drive the SEPIC converter, which...
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Fuzzy-Logic-Controller-Based SEPIC Converter for MPPT in Standalone PV systems
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This paper presents a fuzzy controller (FC)- based single-ended primary-inductor converter (SEPIC) for maximum power point tracking (MPPT) operation of a photovoltaic (PV) system along with battery. The FLC proposed scheme uses the convergent distribution of the membership function. The fuzzy controller for the SEPIC MPPT scheme shows the voltage without any changes in different load conditions at the inverter output (load) side. The behaviour of the converter is tested in simulation at different operating conditions. The load is fed from the battery storage continuously with constant voltage. The battery will be charge with the help of PV module and the SEPIC converter, which is controlled by FLC-based MPPT. The proposed FLC-based MPPT with battery will supply more power to the load than the without battery system.
Maximum PowerPoint Tracking of PV System Based on a SEPIC Converter Using Fuzzy Logic Controller
This paper presents the MPPT (Maximum power point tracking) operation of PV (Photovoltaic) system based on a SEPIC (Single Ended Primary Inverter Converter) converter using fuzzy logic controller. MPPT method such as Incremental conductance base on FLC (Fuzzy Logic Controller) is used to extract maximum output power of the PV system. PV energy is the most essential energy resources since it is pollution free, clean and endless. The FLC proposed scheme is interface with the MPPT to generate the PWM (Pulse Width Modulation) for the SEPIC controller for maximum power point tracking operation.FLChas used Mamdani's method for convergent and divergent of membership function. FLC is used for more efficient performance under the variation in different atmosphere. The fuzzy logic controller with SEPIC for MPPT scheme extract the maximum power point tracking without any change in the voltage at the inverter at different load condition. The behavior of the converter and controller tested in simulation at different operating conditions. Proposed scheme is used for accurately tracking maximum point and also send the smooth, error free signal to the inverter.
International Journal of Scientific Research in Science and Technology, 2022
In this research work, design and analysis of BESS multiport DC-AC converter with DPPC Integrated by using FLC is implemented. The unavailability of power supply from solar PV is not uniform throughout the day. So, a battery is integrated with Solar PV. The obtained dc power from the integrated system needs to supply to the loads as well as to the grids. But the loads needs AC supply. So, a multiport ac-dc converter along with differential power processor is employed. The pulses to the MPC is given by Modified Space Vector Pulse Width Modulation Technique (SVPWM) that takes use of fluctuations in solar and battery voltage. In this project mainly, the control of active power flow is attained. In the controlling topology of MPC, PI controller is implemented to regulate the reference voltage by giving current and reference currents as inputs. But by implementing of PI controller will have less speed response of the system and high harmonic distortions. In order to overcome these issues, this paper proposes a novel controlling topology named Fuzzy Logic Controller (FLC). This will enhances the speed response of the system by maintaining good power quality. The evaluation of this system is considered in two cases namely constant irradiation and variable irradiation by using Matlab/Simulink 2018a Software.
A Sepic based AC-DC Convertor using FOPID Controller
This paper presents " A Sepic based AC-DC Convertor using FOPID Controller " is composed of a low-cost, reduced-switch, three-phase ac–dc buck–boost converter is conventional circuit is proposed. The converter can operate with input power factor correction and is suitable for applications where a converter needs to operate over a wide range of input ac voltages and/or produce a wide range of output dc voltages. To solve this problem SEPIC converter with ripple-free input current is proposed. In the proposed converter, the input bridge diode is removed and the conduction loss is reduced. In addition, the input current ripple is significantly reduced by utilizing an additional winding of the input inductor and an auxiliary capacitor. Similar to the conventional PFC SEPIC converter, the input current in a switching period is proportional to the input voltage and near unity powers achieved. The operational principles, steady-state analysis, and design equations of the proposed converter are described in detail.
This paper presents a fuzzy logic controller (FLC) based on output reference tracking operation applied to a photovoltaic system (PV) with a single-ended-primary-inductor-converter (SEPIC). The SEPIC DC/DC converter has multiple applications as a power conditioning system because it has a non-pulsating input current and its voltage ratio is both step-down and step-up. Comparisons between simulations and experimental results about input requirements, output ripple voltage and efficiency are presented. The performance of the converter is tested in both simulation and experiment at different operating conditions. Finally, the results show that the proposed FLC-based output reference tracking strategy can accurately track the reference signal applied to photovoltaic systems.