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A novel coarse and fine control algorithm to improve Maximum Power Point Tracking (MPPT) efficiency in photovoltaic system

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ISA TRANSACTIoNS 2022年 121卷 180-190页

作者： Kavya, M. Jayalalitha, S. SASTRA Sch Elect & Elect Engn Thanjavur India

The Perturb and observe (P&o) Maximum Power Point Tracking (MPPT) algorithm in solar Photovoltaics (PV) is popular owing to its simplicity. However, its drawbacks, (i) operating point divergence and (ii) tradeoff between fast convergence and balanced state oscillations decelerate the usage. Most of the developments in the literature to overcome these drawbacks increase complexity. To retain simplicity and also to improve tracking efficiency, this paper proposes a Coarse and fine control algorithm. This proposal has distinct aspects, having three control modes. Mode 1 and 2 enhance fast convergence and mode 3 controls stable state oscillations. The comparative analysis from simulation proves that the proposed technique has fast convergence, reduced balanced state oscillations, better tracking efficiency, and minimum transient power loss than the other techniques.

关键词： Photovoltaic Maximum power point tracking P& o algorithm Balanced state oscillation Tracking efficiency

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Adaptive position alignment for wireless charging system with mutual inductance estimation and P&o algorithms employ only primary-side electrical parameters

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IET PoWER ELECTRoNICS 2019年第10期12卷 2493-2500页

作者： Li, Zhenjie Dong, Shuai Song, Kai Zhu, Chunbo Zhang, Qian Huang, Xiaohua Harbin Inst Technol Sch Elect Engn & Automat Harbin 150001 Heilongjiang Peoples R China State Grid Beijing Power Res Inst Beijing 102209 Peoples R China China Elect Power Res Inst Elect Engn & New Mat Dept Beijing 100192 Peoples R China

Position alignment between the transmitter and the receiver is vital for wireless charging system (WCS) because misalignment influences system efficiency, power transfer capability, and magnetic field distribution. Based on the primary-side electrical parameters, the mutual inductance estimation and perturbation and observation (P&o) algorithms are proposed to achieve the adaptive position alignment for the inductor-capacitor-inductor-series (LCL-S) compensated WCS through the movable transmitter. Based on the relationship between primary-side active power and mutual inductance, the feedback impedance theory and quadrature transformation (QT) algorithms are proposed to estimate the mutual inductance. Combined with the misalignment characteristic of circular magnetic coupler, the position alignment that is achieved by P&o algorithm and estimated mutual inductance. The simulation and experimental results verify the following conclusions: The mutual inductance estimation is suitable for different magnetic coupler and compensation topologies, and the accuracy of the estimated mutual inductance is suitable for practical applications. Compared with traditional active power method, the QT algorithm that calculates is more suitable for WCS that features high operating frequency. Combined with the proposed algorithms, high-system performance and fully automatic charging are ensured by the adaptive position alignment method.

关键词： position control compensation inductance inductive power transmission magnetic fields secondary cells wireless charging system primary-side electrical parameters WCS system efficiency power transfer capability magnetic field distribution movable transmitter transmitter active power quadrature transformation algorithm P& o algorithm estimated mutual inductance mutual inductance estimation algorithm compensation topologies traditional active power method QT algorithm high-system performance adaptive position alignment method magnetic coupler

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Implementation of a modified perturb and observe maximum power point tracking algorithm for photovoltaic system using an embedded microcontroller

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IET RENEWABLE PoWER GENERATIoN 2016年第4期10卷 551-560页

作者： Elbaset, Adel A. Ali, Hamdi Abd-El Sattar, Montaser Khaled, Mahmoud Menia Univ Dept Elect Engn Al Minya 61517 Egypt Beni Suef Univ Fac Postgrad Studies Adv Sci Bani Suwayf Egypt El Minia High Inst Engn & Technol Dept Elect & Comp Engn Al Minya Egypt Menia Univ Dept Comp & Syst Engn Al Minya 61517 Egypt

The conventional algorithm of perturb and observe (P&o) is widely applied due to its simplicity, low cost and easy implementation. However, it suffers from instabilities during rapid changes of weather and/or oscillation around maximum power point (MPP) at steady state. Instabilities occur due to the incorrect decision taken by the conventional P&o algorithm at the first step change in duty cycle during the rapid change in radiation. The reason for the steady-state oscillation is the continuous perturbation and tradeoff between step sizes and the convergence time. This study presents a modified P&o algorithm to overcome such drawbacks. It uses a constant load technique to help the conventional P&o algorithm for recognising the cause of power change and to enable it in taking the right decision at first step change in duty cycle during rapid change of weather. The proposed algorithm is simulated using a single solar photovoltaic module of 80 W and a DC/DC boost converter. It is validated experimentally and implemented within an embedded microcontroller. The experimental setup presents a proposed model-based design methodology that uses measurements' data for MPP tracking systems' design. It combines hardware-in-the-loop simulation and prototype testing using actual weather measurements. Simulation and experiments show excellent results.

关键词： maximum power point trackers photovoltaic power systems embedded systems microcontrollers perturbation techniques modified perturb and observe maximum power point tracking algorithm photovoltaic system embedded microcontroller steady-state oscillation modified P& o algorithm constant load technique single solar photovoltaic module DC DC boost converter model-based design methodology MPP tracking systems hardware-in-the-loop simulation

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Development of a hybrid genetic algorithm/perturb and observe algorithm for maximum power point tracking in photovoltaic systems under non-uniform insolation

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IET RENEWABLE PoWER GENERATIoN 2015年第7期9卷 757-765页

作者： Sundareswaran, Kinattingal Vigneshkumar, Vethanayagam Palani, Sankaran Natl Inst Technol Dept Elect & Elect Engn Tiruchirappalli 620015 Tamil Nadu India Sudharsan Engn Coll Dept Elect & Commun Engn Pudukkottai Tamil Nadu India

The power-voltage characteristic curve of photovoltaic systems under partially shaded conditions exhibits multiple peaks and renders conventional maximum power point tracking techniques ineffective. This study proposes a hybrid optimisation algorithm incorporating genetic algorithm (GA) in the initial stages of tracking followed by traditional perturb and observe (P&o) algorithm. Although GA and P&o methods do not guarantee convergence to global maximum power point when employed separately, the fusion of the two methods leads to confirmed global convergences with least time. The excellent performance of the combined method is illustrated through extensive simulation and experimental results.

关键词： genetic algorithms maximum power point trackers hybrid power systems convergence solar cells hybrid genetic algorithm photovoltaic system nonuniform insolation power-voltage characteristic curve partially shaded conditions maximum power point tracking technique hybrid GA optimisation algorithm perturb and observe algorithm P& o algorithm global convergence

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Takagi-Sugeno fuzzy-based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system

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IET RENEWABLE PoWER GENERATIoN 2014年第8期8卷 900-914页

作者： Sekhar, Perumalla Chandra Mishra, Sukumar Indian Inst Technol Delhi Dept Elect Engn New Delhi India

Sluggish tracking for change in solar irradiations is the main demerit of the perturb and observe (P&o) algorithm because of its fixed perturb. To overcome this, an adaptive tracking algorithm based on Takagi-Sugeno fuzzy implications is proposed in this study. Input to the fuzzy controller is the error between conductance and incremental conductance which is otherwise zero at the maximum power point. The P&o algorithm and the proposed algorithm along with the recently published adaptive incremental conductance algorithm are examined for their performance efficacy on a photovoltaic (PV) generating system with fabricated as well as real irradiation data. As a case study, all the considered algorithms are validated under partial shading conditions also. The effectiveness of the proposed algorithm is verified for the tracking of the maximum power point of a PV system in steady as well as changing irradiations and the conclusions are supported through some experimental validations.

关键词： photovoltaic power systems fuzzy control maximum power point trackers sunlight power generation control Takagi-Sugeno fuzzy-based incremental conductance algorithm maximum power point tracking photovoltaic generating system solar irradiations perturb-observe algorithm P& o algorithm adaptive tracking algorithm Takagi-Sugeno fuzzy implications fuzzy controller adaptive incremental conductance algorithm PV generating system partial shading condition

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