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Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation
摘要： Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and year. The biggest challenge is to obtain the maximum power from PV array at varying insolation levels. The maximum power point tracking (MPPT) controller, in association with tracking algorithm will act as a principal element in driving the PV system at maximum power point (MPP). In this paper, the simulation model has been developed and the results were compared for perturb and observe, incremental conductance, extremum seeking control and fuzzy logic controller based MPPT algorithms at different irradiation levels on a 10.2 kW PV array. The results obtained were analysed in terms of convergence rate and their efficiency to track the MPP.
关键词： perturb and observe,fuzzy logic controller,scalar gradient extremum seeking control,Photovoltaic system,incremental conductance,MPPT algorithms
更新于2025-09-23 15:23:52
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FPGA-based active disturbance rejection control and maximum power point tracking for a photovoltaic system
摘要： This paper presents a system for tracking the maximum power point (MPP) and output voltage regulation of photovoltaic cells. The system includes two stages of cascading dc/dc converters: the first one is a boost converter used for tracking the MPP using the perturb and observe algorithm. Meanwhile, a buck converter regulates the output voltage employing the active disturbance rejection control based on an extended state observer and the differential flatness property. The hardware architecture was modeled using high-level tools of hardware abstraction and implemented in a FPGA Artix-7 made by Xilinx. Finally, the performance of the proposed system is shown through a series of experiments that consisted of changing the irradiance and temperature conditions and changes in the system parameters.
关键词： PV system,MPPT,active disturbance rejection control,perturb and observe
更新于2025-09-23 15:21:01
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A photovoltaic powered electrolysis converter system with maximum power point tracking control
摘要： One of the main problems for renewable and other innovative energy sources is the storage of energy for sustainability. This study focuses on two different scenarios to benefit from solar energy more efficiently. Photovoltaic (PV) energy is converted to the desired voltage level using a buck converter for generating hydrogen with electrolysis process. A maximum power point tracking (MPPT) algorithm is used to benefit from the photovoltaic sources more efficiently. The basic electrolysis load for hydrogen production needs low voltage and high current and controlled sensitively to supply these conditions. The photovoltaic powered buck converter for electrolysis load was simulated in MATLAB/Simulink software using a perturb and observe (P and O) MPPT algorithm and PI controller. The simulation results show that in normal, short circuit and open circuit working conditions the PV and load voltages are stabilized. The efficiency of the proposed system is reached more than 90% for high irradiance levels.
关键词： Maximum power point tracking,Electrolysis process,Hydrogen energy generation from PV,DC-DC buck converter,Perturb and observe method,Proportional integral control
更新于2025-09-23 15:19:57
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A High Performance Shade-Tolerant MPPT Based on Current-Mode Control
摘要： This paper proposes a high performance shade-tolerant maximum power point tracking (STMPPT) technique for DC-DC converter stage of photovoltaic (PV) applications. The average current-mode control (ACMC) is utilized to regulate the PV array current using two feedback control loops. The current-mode control is a superior scheme in control of DC-DC power electronic converters. The proposed STMPPT technique operates in two modes. The ACMC with the perturb and observe (P&O) MPPT algorithm functions in a local MPPT (LMPPT) mode under normal irradiance condition. When the PV array is likely to be partially shaded, a global MPPT (GMPPT) subroutine effectively scans the PV profile to optimize the PV system operation. This is achieved by implementing simple innovations to the ACMC-based P&O algorithm. The innovations benefit from useful observations of I-V characteristics. The idea behind using the I-V characteristics is to significantly reduce the search space, make the algorithm independent of shading conditions and PV array configuration, and inherently recognize the occurrence of partial shading conditions (PSCs). The proposed STMPPT technique enables very fast and reliable tracking of global maximum power point (GMPP). In addition, it can stably work under dynamic environmental change without losing correct sense of tracking direction. Its simplicity and independency would offer a viable solution for PV converter products. Simulation and experimental performance assessments are presented under different operating conditions that could happen in outdoor PV installations.
关键词： perturb and observe algorithm,partial shading condition,Photovoltaic system,current-mode control,shade-tolerant maximum power point tracking
更新于2025-09-19 17:15:36
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[IEEE 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) - Edmonton, AB, Canada (2019.5.5-2019.5.8)] 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) - A Novel Control Methodology for Stand-Alone Photovoltaic Systems Utilizing Maximum Power Point Tracking
摘要： This paper introduces an innovative Maximum Power Point Tracking (MPPT) technique to extract maximum available power from a Photovoltaic (PV) system irrespective of temperature, solar irradiation and load anomalies. A single-stage DC-DC buck converter that extracts maximum power from the connected PV module and controls the output battery state of charge (SoC) is a key component in achieving this target. The introduced circuit consists of three subsystems: a PV module, a Buck converter and an MPPT plus voltage regulation controller. MPPT is achieved via a novel methodology, not only applies to maximum energy extraction of the PV module but also combined with a feedback optimization of the battery charging and discharging modes. The developed system is geared towards Internet of Things (IoT) based wireless sensor nodes (WSN). In the proposed solution, power harvested from the PV module is combined with the battery power; to guarantee that the connected load receives a full supply of power. To maximize the energy conversion a converter controlled MPPT algorithm - Perturb and Observe (P&O) which considers the non-linear output of the PV is utilized with the aid of the buck converter. The validity of the introduced system is tested using the simulation model in PSIM and the results are presented and discussed.
关键词： Photovoltaic System,MPPT,Buck Converter,Perturb and Observe
更新于2025-09-19 17:13:59
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[IEEE 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) - Delhi, India (2018.10.22-2018.10.24)] 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) - A Modified Perturb & Observe Algorithm For Maximum Power Point Tracking With Zero Voltage Switching Buck Boost Converter in Photovoltaic System
摘要： The conventional perturb and observe algorithm used for maximum power point tracking of PV system suffers from major drawbacks such as steady state oscillation around final maximum power point and loss of tracking direction i.e. divergence from actual maximum power point for rapid change in insolation. Both these problems result in significant power loss as the PV system operating point is getting diverted from actual maximum power point. As Buck-Boost converter plays an important role while changing the operating point of PV panel, it contributes to significant amount of power loss in the form of switching loss, conduction loss etc. This paper proposes a method to avoid the above given shortcomings of perturb & observe algorithm. Major focus is given on the designing of Buck-Boost converter as to date nobody has taken into consideration the losses occurring in the converter even though converter forms an integral part of the MPPT set up. The losses occurring in the conventional buck boost converter have been computed and its effect on the efficiency of MPPT system is investigated. The soft-switched buck boost converter for PV applications is designed so as to minimize the losses taking place in converter.
关键词： Buck-boost converter,Perturb and observe (P&O),Photo voltaic (PV),Soft switching,Zero voltage switching (ZVS)
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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[IEEE 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) - Vellore, India (2019.3.22-2019.3.23)] 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) - Matlab Simulation of Advanced MPPT Algorithm for Solar photovoltaic System
摘要： This paper presents matlab simulation of perturb and observe (P&O) and Incremental Conductance maximum power point tracking (MPPT) method for solar photovoltaic system. The photovoltaic (PV) system is one of necessary renewable energy in recent year to overcome the energy demand and reduce environment problems. The PV system generate curved photovoltaic current and photovoltaic power characteristics. The maximum power point is varying with irradiance and temperature, so for tracking the maximum power MPPT is required. The MPPT is an automatic control algorithm which track power, during changing in light level, shading, and change in temperature. The reason of MPPT is to retain operating point around the maximum power point (MPP). Hence it is essential component to calculate the design performance for a PV system. Matlab simulation results are carried out for both method at different solar irradiance.
关键词： photovoltaic,perturb and observe,Incremental conductance,maximum power point
更新于2025-09-16 10:30:52
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Whale inspired algorithm based MPPT controllers for grid-connected solar photovoltaic system
摘要： Over the past decades, meta-heuristic optimization techniques have become surprisingly very popular due to their flexibility and local optima avoidance capability. This paper uses the Whale Optimization Algorithm (WOA), a swarm-based technique to tune the Proportional-Integral (PI) based Maximum Power Point Tracking (MPPT) controllers of a grid-connected solar Photovoltaic (PV) system. The results of the PI-based Incremental Conductance (IC) MPPT technique are compared with both the conventional incremental conductance and the Perturb & Observe (P&O) MPPT techniques. Various modes of the PI controller are used. I, PI and Fractional order PI (FOPI) gain parameters are determined using WOA. Performance indices are applied to estimate the best parameters of the PI controller. This paper aims to show the effect of using PI-based MPPT controllers on enhancing the performance of a 400-kW grid-connected PV system. Simulation results show the capability of PI-based MPPT controllers on improving the performance of the PV system. It demonstrates the superiority of FOPI controllers over the other modes in enhancing system performance. The proposed work is simulated using MATLAB SIMULINK.
关键词： Photovoltaic,Perturb and Observe,Whale Optimization Algorithm,Proportional-Integral controller,Maximum Power Point Tracking,Incremental conductance
更新于2025-09-12 10:27:22
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A Maximum Power Point Tracking Algorithm for Photovoltaic Systems under Partially Shaded Conditions
摘要： This paper shows a modification of the traditional ‘perturb and observe’ algorithm used to the maximum power point tracking in photovoltaic systems. The proposal is justified by the need of algorithms to track the global maximum power point in solar panels connected in series under partially shaded conditions. The proposal tracks the global maximum power point avoiding the previous iterative search in local maximums. The algorithm performance is evaluated by simulations in the software PSIM and its behavior is compared with the traditional perturb and observe algorithm. The results show the outstanding performance of the modified algorithm in the tracking of the global maximum power point under different non uniform conditions of temperature and irradiance in the solar array.
关键词： perturb and observe algorithm,photovoltaic systems,DC-DC converters,maximum power point tracking
更新于2025-09-12 10:27:22