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[IEEE 2019 7th International Renewable and Sustainable Energy Conference (IRSEC) - Agadir, Morocco (2019.11.27-2019.11.30)] 2019 7th International Renewable and Sustainable Energy Conference (IRSEC) - Design and Performance Analysis of a Photovoltaic Water Pumping System based on DC-DC Boost Converter and BLDC Motor
摘要： This paper presents the modeling, control and optimization of a photovoltaic water pumping system. The system consists of a DC-DC Boost converter, which is used as a link between a Solar Photovoltaic (SPV) panels and the three-phase inverter (VSI) to feed the BLDC motor. A centrifugal pump is connected to this motor in order to use the water pumped afterwards to multiple applications. Maximum Power Point Tracking (MPPT) control techniques are an essential part of improving the efficiency of photovoltaic (PV) systems. It is principally used to extract maximum possible power of the PV modules under any condition of solar irradiation. For this reason, P&O algorithm is used due to its high performance and its simplicity of implementation. The DC-DC Boost converter, compared to the various common DC-DC converters (Buck, Buck-Boost, SEPIC, Cuk...) has many benefits in SPV based applications, such as limiting the starting current of the motors. Using a BLDC motor is found to be the best option because of its high efficiency and reliability, better performance, and requires low maintenance. The considered system as well as the control strategies has been implemented in MATLAB-Simulink environment. The results show the effectiveness of the studied photovoltaic water pumping system.
关键词： brushless DC electric motor,perturbation and observation,voltage source inverter,Boost converter,solar photovoltaic array,electronic commutation,centrifugal pump
更新于2025-09-23 15:21:01
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Propose a MPPT Algorithm Based on Thevenin Equivalent Circuit for Improving Photovoltaic System Operation
摘要： Smart grids are considered as key solutions to solve current power security issues. Among these suggestions, microgrid is proposed to integrate distributed generations (DGs) such as photovoltaic (PV) system into the network and the control of DGs output power is getting more attention. The output power of PV arrays with nonlinear characteristics is affected by temperature, solar irradiation and load. Various maximum power point tracking (MPPT) methods for photovoltaic (PV) power systems have been considered and developed to maximize the delivered possible power. In this paper, a modelized photovoltaic source is introduced, based on the Thevenin equivalent circuit. An ordinarily employed solar system model is linearized into simple Thevenin source-resistance representation. Next, a control algorithm associated with the relationship between controller’s PWM duty cycle of the MPPT boost converter and solar array output power, namely proposed MPPT algorithm, is introduced. This proposed method is compared with an existing popular MPPT algorithm to confirm its superior performance by using the MATLAB/SIMULINK? simulation. The results show an improvement in the power generation from a PV array in any weather condition, and also help to reduce the impact of rapid change of solar irradiation on the output power variation within the time duration of change. Therefore, the proposed algorithm reduces the effect on grid frequency and motivate the PV generation penetration into the microgrids. Finally, a 50W DC-DC boost converter prototype is implemented and tested to verify the feasibility of the proposed control scheme.
关键词： photovoltaic (PV),renewable energy source,perturbation and observation method (P&O),thevenin equivalent circuit,maximum power point tracking (MPPT)
更新于2025-09-16 10:30:52
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A Hybrid Modified FA-ANFIS-P&O Approach for MPPT in Photovoltaic Systems under PSCs
摘要： A modified firefly algorithm (MFO)-based adaptive neuro-fuzzy inference system (ANFIS) combined with the perturbation and observation (P&O) is used in this paper to track the maximum power point (MPP) in photovoltaic systems (PVs). The proposed method identifies and tracks the MPP in two stages. First, according to the irradiance on the solar panels, the ANFIS approximately identifies the MPP. In the second stage, the P&O method starts to act in the tracking cycle and initiates an accurate searching process from that point. The suggested hybrid method covers the problems of commonly-used methods, such as inability in detecting the global MPP under partial shading conditions (PSCs) and trapping in the local optima. Furthermore, the method provides significantly higher speed for the MPP tracking under various irradiance patterns. To prove the above-mentioned claims, the given approach is compared with the P&O method as a common method in the MPPT and particle swarm optimization (PSO) which operates based on swarm intelligence. Simulation results obtained from MATLAB/Simulink environment show that the proposed method identifies and tracks the MPP under uniform irradiance and PSCs in a very short time of roughly 0.2 s.
关键词： PV system,Solar energy,Modified firefly algorithm,Perturbation and observation,Adaptive neuro fuzzy inference system
更新于2025-09-12 10:27:22
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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