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Maximum Power Point Tracking Using the incremental conductance algorithm for PV Systems Operating in Rapidly Changing Environmental Conditions

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Smart Grid and Renewable Energy 2022年第5期13卷 89-108页

作者： Derek Ajesam Asoh Brice Damien Noumsi Edwin Nyuysever Mbinkar Laboratoire de Génie Electrique Mécatronique et Traitement du Signal ENSPY University of Yaounde I Yaounde Cameroon Department of Electrical/Electronic Engineering NAHPI University of Bamenda Bamenda Cameroon Higher Technical Teacher Training College (HTTTC) University of Bamenda Bamenda Cameroon Department of Electrical/Electronics Engineering Nigeria Army College of Environmental Studies and Technology (NACEST) Makurdi Nigeria

Maximum Power Point Tracking (MPPT) is an important process in Photovoltaic (PV) systems because of the need to extract maximum power from PV panels used in these systems. Without the ability to track and have PV panels operate at its maximum power point (MPP) entails power losses;resulting in high cost since more panels will be required to provide specified energy needs. To achieve high efficiency and low cost, MPPT has therefore become an imperative in PV systems. In this study, an MPP tracker is modeled using the IC algorithm and its behavior under rapidly changing environmental conditions of temperature and irradiation levels is investigated. This algorithm, based on knowledge of the variation of the conductance of PV cells and the operating point with respect to the voltage and current of the panel calculates the slope of the power characteristics to determine the MPP as the peak of the curve. A simple circuit model of the DC-DC boost converter connected to a PV panel is used in the simulation;and the output of the boost converter is fed through a 3-phase inverter to an electricity grid. The model was simulated and tested using MATLAB/Simulink. Simulation results show the effectiveness of the IC algorithm for tracking the MPP in PV systems operating under rapidly changing temperatures and irradiations with a settling time of 2 seconds.

关键词： Modeling Simulation PV System Maximum Power Point Tracking (MPPT) incremental conductance algorithm MATLAB/Simulink

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An improved MPPT control strategy based on incremental conductance algorithm

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Protection and Control of Modern Power Systems 2020年第1期5卷 176-183页

作者： Liqun Shang Hangchen Guo Weiwei Zhu School of Electrical and Control Engineering Xi’an University of Science and TechnologyXi’an 710054Shaanxi ProvinceChina

PV power production is highly dependent on environmental and weather conditions,such as solar irradiance and ambient *** of the single control condition and any change in the external environment,the first step response of the converter duty cycle of the traditional MPPT incremental conductance algorithm is not accurate,resulting in *** improve the efficiency and economy of PV systems,an improved incremental conductance algorithm of MPPT control strategy is *** the traditional incremental conductance algorithm,this algorithm is simple in structure and can discriminate the instantaneous increment of current,voltage and power when the external environment changes,and so can improve tracking *** simulations are carried out under rapidly changing solar radiation level,and the results of the improved and conventional incremental conductance algorithm are *** results show that the proposed algorithm can effectively identify the misjudgment and avoid its *** not only optimizes the system,but also improves the efficiency,response speed and tracking efficiency of the PV system,thus ensuring the stable operation of the power grid.

关键词： Photovoltaic array MPPT Phenomenon of misjudgment incremental conductance algorithm

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Improving the incremental conductance algorithm for two-stage grid-connected photovoltaic systems

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TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2018年第1期26卷 442-453页

作者： Ozcelik, Megmet Ali Yilmaz, Ahmet Serder Gaziantep Univ Vocat Sch Tech Sci Dept Elect & Energy Gaziantep Turkey Kahramanmaras Sutcu Imam Univ Dept Elect & Elect Engn Fac Engn Kahramanmaras Turkey

Efficiency of solar photovoltaic generation plants depends not only on internal operational conditions but also on external atmospheric conditions. Total efficiency is influenced by various weather conditions such as cloudiness, temperature, and irradiation. In order to generate maximum energy, photovoltaic (PV) arrays should be operated at their maximum power point (MPP), varying external factors like partial shading and surface temperature and amount of radiation coming from the sun. In modern PV systems, maximum power point trackers (MPPTs) have been used in order to reach the MPP, changing with the factors given above. MPPT units are implemented to control DC-DC converters that are connected to terminals of PV arrays. MPPTs operate according to some algorithms to reach the maximum power level in various conditions. This study presents a new modification of the incremental conductance (IncCond) algorithm, one of the best-known algorithms, to improve total efficiency of solar energy conversion systems. The proposed modified algorithm is able to catch the new MPP quickly compared to the conventional type and oscillations are also decreased, reaching a new operating point.

关键词： DC-DC converters incremental conductance algorithm maximum power point tracker photovoltaic systems

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A Modified incremental conductance algorithm for Partially Shaded PV Array

A Modified Incremental Conductance Algorithm for Partially S...

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IEEE International Conference on Technological Advancements in Power and Energy (IEEE TAP Energy) - Exploring Energy Solutions for an Intelligent Power Grid

作者： Lakshmi, D. Rashmi, M. R. Amrita Vishwa Vidyapeetham Amrita Sch Engn Dept Elect & Elect Engn Bengaluru India

ISBN: (纸本)9781538640210

For a partially shaded PV array there will be several peaks in the Maximum Power Point (MPP) characteristics. The conventional incremental conductance (INC) algorithm cannot extract global maximum power point during shading. Therefore the INC algorithm is slightly modified to extract global maximum point during worst atmospheric conditions. Hybrid Cuk converter performance is better compared to Cuk and boost converters. The algorithm is experiment on Hybrid Cuk converter. This paper presents the performance of Cuk converter by applying modified INC algorithm to generate the switching pulses to extract maximum power when the panel is partially shaded. The results of the modified algorithm are compared with basic incremental conductance algorithm.

关键词： Maximum Power Point Tracking (MPPT) incremental conductance algorithm partially shaded PV array Global Maximum Power Point

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New Approach of incremental conductance algorithm for Maximum Power Point Tracking Based on Fuzzy Logic

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INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING 2016年第7期9卷 121-132页

作者： Othmani, Hichem Mezghani, Dhafer Belaid, Ahmed Mami, Abdelkader Univ Tunis El Manar Fac Sci Tunis Dept Phys Univ Campus Farhat Hached Tunis 1068 Tunisia

Tracking the maximum power point is an appropriate solution against climatic changes like the irradiance and temperature. The classic incremental conductance algorithm is one of the most widely used methods in commercial photovoltaic MPPT's (Maximum Power Point Tracking). A wide variation of climatic condition can degrade the produced energy. In this work we present our new approach based on fuzzy logic which can guarantee better performance. The studied system used to prove the efficiency of the proposed method is composed by a photovoltaic panel Kaneka K60 connected to a Sepic Converter which fed a resistive load. The All results quoted in this work are found using MATLAB-Simulink. We put the system in different working condition to highlight our new approach. All presented results are discussed.

关键词： Photovoltaic Panel Sepic converter MPPT incremental conductance algorithm fuzzy logic

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MPPT Design for PV-Powered WPT System with Irregular Pulse Density Modulation

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2023年第1期51卷 83-91页

作者： Unal, Kenan Bal, Gungor Oncu, Selim Ozturk, Nihat Gazi Univ Motor Vehicle & Transportat Technol Ankara Turkey Istanbul Topkapi Univ Elect & Elect Engn Istanbul Turkey Karabuk Univ Elect & Elect Engn Karabuk Turkey Gazi Univ Elect & Elect Engn Ankara Turkey

Electric vehicles (EVs) are well-known as environmentally friendly systems. Therefore, the demand for EVs is rapidly increasing every day, but for charging batteries of EVs eco-friendly electrical energy sources are needed. To use a clean energy source, this article proposes a wireless power transfer (WPT) system energized by photovoltaic panels. In this study, pulse density modulation technique controlled with incremental conductance algorithm is preferred in the WPT system for both transferring power from primary to secondary windings and for tracking maximum power point (MPP). The proposed system was tested with an experimental prototype and the results were presented. As a result, both 99.22% MPPT efficiency was obtained and power was transferred from primary to secondary with 90% efficiency.

关键词： wireless power transfer pulse density modulation maximum power point tracking incremental conductance algorithm

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Research on the MPPT of Photovoltaic Power Generation Based on the CSA-INC algorithm

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Energy Engineering 2023年第1期120卷 87-106页

作者： Tao Hou Shan Wang School of Automation and Electrical Engineering Lanzhou Jiaotong UniversityLanzhou730070China Rail Transit Electrical Automation Engineering Laboratory of Gansu Province(Lanzhou Jiaotong University) Lanzhou730070China

The existing Maximum Power Point Tracking(MPPT)method has low tracking efficiency and poor *** is easy to fall into the Local Maximum Power Point(LMPP)in Partial Shading Condition(PSC),resulting in the degradation of output power quality and *** was found that various bio-inspired MPPT based optimization algorithms employ different mechanisms,and their performance in tracking the Global Maximum Power Point(GMPP)***,a Cuckoo search algorithm(CSA)combined with the incremental conductance algorithm(INC)is proposed(CSA-INC)is put forward for the MPPT method of photovoltaic power *** method can improve the tracking speed by more than 52%compared with the traditional Cuckoo Search algorithm(CSA),and the results of the study using this algorithm are compared with the popular Particle Swarm Optimization(PSO)and the Gravitational Search algorithm(GSA).CSA-INC has an average tracking efficiency of 99.99%and an average tracking time of 0.19 s when tracking the GMPP,which improves PV power generation’s efficiency and power quality.

关键词： Partial shading condition sudden light intensity cuckoo search algorithm maximum power point tracking incremental conductance algorithm

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Analysis of a Microgrid having Solar System with Maximum Power Point Tracking and Battery Energy System 10

Analysis of a Microgrid having Solar System with Maximum Pow...

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10th International Conference on Smart Grid (icSmartGrid)

作者： Dey, Jewel Mohammad, Nur Islam, Md. Tazul Chittagong Univ Engn & Technol Inst Energy Technol Chittagong 4349 Bangladesh Chittagong Univ Engn & Technol Dept Elect & Elect Engn Chittagong 4349 Bangladesh Chittagong Univ Engn & Technol Dept Mech Engn Chittagong 4349 Bangladesh

ISBN: (数字)9781665486040

ISBN: (纸本)9781665486057;9781665486040

This paper provides circuit modelling of a microgrid that has a solar power system with maximum power point tracking and a battery energy system. The maximum power of the photovoltaic panel is tracked by using the incremental conductance MPPT set of rules. A Boost converter is used to adjust the voltage level corresponding to the MPPT. The required adjustable duty cycle switches the converter. The battery is employed as memory means that's connected to the bidirectional DC-DC power converter. The necessary change of the converter should be exhausted the way that it charges or discharges the battery relying upon the load profile. This model gives benchmark sizing of the PV module and battery energy storage for standalone microgrid PV operation. The model able to harness the maximum power with minimal oscillations, decreases the system losses in the energy management system and increases overall efficiency.

关键词： Maximum Power Point Tracking (MPPT) Boost converter Bidirectional DC-DC converter Micro-Grid incremental conductance algorithm Solar panel

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Photovoltaic Maximum Power Point Tracker for a Multiple-Input SEPIC Under Partial Shading Condition 13

Photovoltaic Maximum Power Point Tracker for a Multiple-Inpu...

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13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

作者： Ajabnoor, Abdulmannan Kwasinski, Alexis King Abdulaziz Univ Elect & Comp Engn Dept Jeddah Saudi Arabia Univ Pittsburgh Elect & Comp Eng Dept Pittsburgh PA USA

ISBN: (数字)9781665466189

ISBN: (纸本)9781665466189

The power produced from solar panels depends on irradiation, temperatures, number of cells, and aging impact. Moreover, extracting maximum power from solar cells is independent of load. Therefore, a maximum power point tracker (MPPT) is essential to maximize the output power from a photovoltaic (PV) module. The incremental conductance, and the equilibration algorithms have been applied to extract the MPP under partial shading condition. Partial shading on solar panels causes the power-voltage curve to have different local maximal points Among them, the largest MPP, the global maximum point, should be extracted. In this paper, a multiple-input single-ended primary inductance converter (SEPIC) is chosen to combine PV modules with an alternative source because it provides a continuous input current, and full MPP tracking range.

关键词： Multiple-Input SEPIC MPPT Partial Shading Equilibration algorithm incremental conductance algorithm

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Linear Quadratic Regulator and Fuzzy Control for Grid-Connected Photovoltaic Systems

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ENERGIES 2022年第4期15卷 1286页

作者： Mukhatov, Azamat Thao, Nguyen Gia Minh Do, Ton Duc Nazarbayev Univ Sch Engn & Digital Sci Dept Robot & Mechatron Nur Sultan 010000 Kazakhstan Toyota Technol Inst Grad Sch Engn Nagoya Aichi 4688511 Japan

This work presents a control scheme to control a grid-connected single-phase photovoltaic (PV) system. The considered system has four 250 W solar panels, a non-inverting buck-boost DC-DC converter, and a DC-AC inverter with an inductor-capacitor-inductor (LCL) filter. The control system aims to track and operate at the maximum power point (MPP) of the PV panels, regulate the voltage of the DC link, and supply the grid with a unity power factor. To achieve these goals, the proposed control system consists of three parts: an MPP tracking controller module with a fuzzy-based modified incremental conductance (INC) algorithm, a DC-link voltage regulator with a hybrid fuzzy proportional-integral (PI) controller, and a current controller module using a linear quadratic regulator (LQR) for grid-connected power. Based on fuzzy control and an LQR, this work introduces a full control solution for grid-connected single-phase PV systems. The key novelty of this research is to analyze and prove that the newly proposed method is more successful in numerous aspects by comparing and evaluating previous and present control methods. The designed control system settles quickly, which is critical for output stability. In addition, as compared to the backstepping approach used in our past study, the LQR technique is more resistant to sudden changes and disturbances. Furthermore, the backstepping method produces a larger overshoot, which has a detrimental impact on efficiency. Simulation findings under various weather conditions were compared to theoretical ones to indicate that the system can deal with variations in weather parameters.

关键词： fuzzy control grid-connected PV system incremental conductance algorithm linear quadratic regulator maximum power point tracking unity power factor

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