Performance Enhanced SEPIC Converter with Incremental Conductance MPPT for PV Powered Irrigation Systems

In this paper, a comparative performance analysis was proposed for PV fed EV charging system for ZETA and SEPIC DC-DC converter topologies. The utilization of Electric vehicles has gained significance in recent years due to societal awareness and increasing concern for environmental sustainability. EV charging time plays a vital role in modern-day vehicle commuting with energy-efficient performance. The selection of an appropriate DC-DC converter topology plays a significant role for fast charging with improved efficiency. The paper presents an optimized parameter selection, design, simulation methodology & relative performance analysis between the ZETA and SEPIC converter topologies with and without MPPT algorithm for EV charging applications. The MPPT algorithm based on P&O and IC techniques investigates for switching time of the ZETA and SEPIC converters under standard test conditions of solar PV panel i.e., at irradiance of 1000 W/m2 and temperature of 25oC. In this article MATLAB/Simulink was developed to explore the performance of both topologies with and without MPPT approaches for battery SoC, battery voltage and charging current. The study shows that the battery charged from an SoC of 50% to 50.035% for SEPIC converter while the ZETA converter charges from 50% to 50.025% with a similar simulation time of ten seconds with Solar power input. The results demonstrate the DC-DC SEPIC converter is the best choice for EV charging applications through the PV system.

This article introduces “MPPT based SEPIC converter with voltage doubler cell for PV systems”. The primary aim of this study is to efficient energy conversion by utilizing SEPIC converter. The SEPIC converter accomplishes requirements like 1) Large transformation ratio with lesser number of elements. 2) Minimization of heavy stresses across switch. The description of operating principle of analysis is expressed within this article. The PV modeling along with MPPT algorithm and SEPIC converter for 250W are simulated in the MATLAB Simulink.

Renewable energy sources play a key role and have been the focal point of research efforts all around the world. Among them, Solar energy is a significant source which is suitable for our world. The distinct types of DC – DC Converters connect PV arrays and load for the purpose of impedance matching. To overcome the disadvantages of PV arrays with difference in irradiance level, MPPT algorithm is employed which extracts the greatest power from PV array. DC-DC converter along with MPPT can be beneficial for Standalone PV systems as well as Grid connected systems. This literature represents the simulation of DC-to-DC Boost converter and SEPIC converter for PV array along with Perturb and Observation (P&O) system using MATLAB/SIMULINK. The simulation findings are discussed and performance of boost converter is contrasted with SEPIC converter.

A high conversion ratio DC/DC converter with an active zero-voltage switching (ZVS) snubber circuit incorporated with maximum power point tracking (MPPT) techniques is presented in the paper. The MPPT controllers employ photovoltaic (PV) systems to make the converter output track the maximum PV output power. The active snubber circuit restricts the voltage stresses on the power switches. The simulation and experimental results verify high conversion ratio converter performance. The tracking performance simulations of the perturbation and observation (P&O) and incremental conductance (INC) MPTT are compared in the PV charging system. The tracking performances by INC MPPT controller and waveform of the PV charging system are presented.

Integrating small and large-scale photovoltaic (PV) solar systems into electrical distribution systems has become mandatory due to increased electricity bills and the concern for limiting greenhouse gases. However, the reliable and efficient operation of PV-based distribution systems can be confronted by the intermittence and high variability of solar sources and their consequential faults. In this regard, this article suggests a moderated fault-clearing strategy based on the incremental conductance–maximum power point tracking (IC–MPPT) technique and artificial neural networks (ANNs) to enhance fault detection, localization, and restoration processes in PV-based distribution systems. The proposed strategy leverages IC–MPPT to ensure optimal power generation from the PV solar system, even in the presence of faults. By tracking the maximum power point, the algorithm maintains the performance of the system and mitigates against the impact of faults on the output power. Furthermore, an ANN is employed to improve fault detection and localization accuracy. The developed ANN-based moderated fault-clearing strategy is trained using historical data and fault scenarios, enabling it to recognize fault patterns and make informed decisions through extensive simulations and comparisons with traditional fault-clearing methods. To accomplish this study, benchmarks in PV-based distribution systems are constructed and employed using the MATLAB®/Simulink® software package. Moreover, to validate the efficacy of the developed ANN-based moderated fault-clearing strategy, a real case study of a 1-MW PV-based distribution system in an industrial field located in Giza governorate, Egypt, is tested and investigated. The obtained results demonstrate the effectiveness of the IC–MPPT and ANN-based moderated fault-clearing strategy in achieving faster fault detection, precise fault localization, and efficient restoration in PV solar-based distribution systems while preserving maximum power extraction under small and large system disturbances. Furthermore, IC–MPPT based on an ANN achieves an average power of 98.556 kW and 299.632 kWh energy availability, whereas the IC–MPPT based on a proportional–integral controller achieves 95.7996 kW and 283.4036 kWh, and the classic perturb-and-observe MPPT algorithm achieves 92.2657 kW and 276.8014 kWh.

This paper presents a comparative assessment of two controllers, namely sliding mode controller and hysteresis controller for active power filtering of a grid integrated Photovoltaic (PV) system. These control algorithms were employed in Voltage Source Inverter (VSI) for active power filtering as well as for converting the dc voltage from PV array to 3-phase ac voltage. For superior tracking efficiency a modified Incremental Conductance Maximum Power Point Tracking (ICMPPT) algorithm is employed to extract maximum power from PV panels. A PI controller is used for regulation of dc link capacitor voltage. Instantaneous power theory based reference current generation is used for the active power filtering. Both sliding mode control algorithm and hysteresis control algorithm are designed for tracking the reference inverter current in order to elimination the grid current harmonics. The steady state and transient performances of the two controllers i. e. sliding mode controller and hysteresis controller are compared. These two control schemes are implemented on a grid connected PV system firstly using MATLAB/Simulink and then on an experimental setup developed in the laboratory. From the obtained simulation and experimental results, it is found that sliding mode controller exhibits superior performance such as better transient and steady state behavior under parameter uncertainties as compared to the hysteresis controller.

This paper presents the experimental results of a proposed system of energy sources integration in which the TAB converter serves as interface. In TAB converter, a transformer serves to magnetically link the converters. Besides the advantage of galvanic isolation, this topology easily affords different levels of voltages on its ports. This can be done by the proper choice of the turns ratio of the transformer windings and suitable adjustment. The proposed system has a load, a main source of voltage and an auxiliary power source formed by a photovoltaic panel and a Sepic converter that is used with MPPT for PV panel. The MPPT of the PV panel is made with the method of constant voltage. It is observed a smooth exchange of power between the ports. The current in the system has good behavior, even without control. The proposed system can be used in UPS and micro-grids.

Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using dSPACE

Electrical Energy can be generated by Photovoltaic (PV) systems. To achieve desired power range PV modules are connected both in series and parallel. There will be a difference between output power between PV cells, modules due to temporary shading, pollution or spread in cell behaviour. PV output power will be reduced due to this. In this paper in order to get the same output power during such condition delta conversion concept is introduced with the help of a DC/DC SEPIC converter. This is a converter capable of averaging out the difference existing in output power between PV cells, modules existing in PV system. The converter is simulated in MATLAB software and the results obtained are compared with the prototype hardware results.

The power versus voltage curve of a photovoltaic (PV) panel exhibits several maximum power points (MPPs) in a partial shading (PS) condition. Thus, it remains an optimization challenge to ensure that PV systems operate at their global MPP (GMPP). Scanning the output characteristics of the PV panels seems a general solution for this issue. However, applying a short circuit to the terminal of PV panels where there exists an electrolytic capacitor, has a detrimental effect on the lifetime of the system. To this end, in this paper, a GMPP estimator is proposed as a global solution for conventional MPPT algorithms under PS conditions. The proposed technique improves existing simple MPPT algorithms with original approaches as follows: 1) An accurate microscopic analysis of a PV characteristic in PS conditions is considered; 2) an original definition of the dominant cells and modules in a PV panel is proposed that allows to reduce the PS patterns to a finite number and 3) the search area for the MPPT operation is reduced to find the accurate GMPP by proposing two voltage boundaries. The lower boundary corresponds to the GMPP under uniform shading condition that can be determined using a closed form formula, while the upper one refers to the GMPP of a dominant cell in a PV module that can be determined using an artificial intelligence technique. This can also help set the initial duty cycle in a convex area around the GMPP. The functionality of the proposed GMPP estimator is experimentally validated.

In this study, design, manufacturing and installation of a new agricultural irrigation system with a 2.2 kW photovoltaic (PV) panel, which has a lower volume and lower cost in terms of size and cost, was carried out within the boundaries of Batman province that has a long sunshine duration. Through making winding and connection changes on a 380v-star connected asynchronous submersible motor with 2.2 kW power, which operates compatibly with HSPL/H2200H model inverter, the HSPL/H2200L model inverter was brought in compliance with the delta having 220v between its phases and having output voltage. Dimension analysis of a photovoltaic system that was independent of the grid and where this new voltage level would be obtained was performed and the operation of rewinding the motor and changing the connection shape was explained. The real-time current, voltage and power data obtained after the installation are presented in tables and graphs. The advantages of this low-cost new irrigation system over the existing irrigation systems with similar power are explained in detail through the size and cost analyses.

To mitigate problems like energy shortage and environmental degradation caused by conventional energy sources, it needs to shift from conventional energy to non-conventional energy sources. The solar photovoltaic (PV) technology emerges as one of the leading non-conventional energy sources. To operate a PV system at its maximum efficiency, it requires the operating module at maximum power output point (MPP). There are many conventional as well as advanced maximum power point tracking (MPPT) techniques developed and implemented for a solar PV system. This work provides a comparative analysis of the conventional and fuzzy logic controller (FLC)-based MPPT techniques for a solar PV system. In this study, performance of two conventional techniques is considered, i.e., perturb and observe (P & O) and incremental conductance (IC) MPPT technique. The analysis of the PV system is performed for different solar irradiance levels. The comparative study is evaluated for complexity, tracking time, efficiency, range of power, voltage, and current oscillations. The DC-DC boost converter is used for operation of the proposed PV system at MPP. The implementation of the entire system and control algorithms has been modeled in MATLAB Simulink.

This paper presents a hardware implementation of MPPT algorithm. SEPIC converter is proposed and designed as DC/DC converter. The control unit for MPPT using P&O based algorithm is namely decremented window/frame-size scanning. The global MPP is tracked by the MPPT algorithm by reducing the frame size of the domain scanning for every iteration. Duty cycle of a pulse-width modulation (PWM) signal is used as the scanning unit. The circuit performance monitoring is made by using an interface software that can generate real-time graphics. The system is real tested under three partial shading scenarios. The result shows that the MPPT circuit can reach maximum efficiency of 85 %. The number of iterative frame reduction step to reach global MPP is about 3 steps with 33 ms to finish all steps.

Modeling and design of voltage-mode controlled PV-fed SEPIC converter

Photovoltaic (PV) energy can be considered to be as highly efficient energy source since it is ecofriendly, harmless and available endlessly. In order to improve the output power of photovoltaic cells, the maximum power point tracking technology is used in PV systems. This paper designs a sliding mode controller based on SEPIC converter to implement MPPT. The difference from other methods is that the proposed method uses the circuit output voltage U 0 in the closed-loop system, so that the controller has better control effect. The buck-boost feature of the SEPIC widens the applicable PV voltage and thus increases the adopted PV module flexibility. First, the photovoltaic array is modeled and the simulation results are analyzed in this paper. Then model and analyze the SEPIC circuit and derive a sliding mode control strategy based on this circuit. Finally, the results obtained in MATLAB/Simulink were compared with the conventional P&O algorithm and INC algorithm. The results show that the sliding mode controller proposed in this paper has faster speed and less oscillation when tracking the maximum power point (MPP).