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Multi-Stage Cooperative Optimization Control for Photovoltaic MPPT: A High-Efficiency Gray Wolf Optimizer-incremental Conductance Hybrid Strategy

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ENERGIES 2025年第8期18卷 1977-1977页

作者： Li, Jiahao Lu, Shuai Yang, Jing Henan Univ Sci & Technol Coll Informat Engn Luoyang 471000 Peoples R China Chengdu HuaMod Technol Co Ltd Chengdu 610000 Peoples R China

With the continuous growth of global energy demand and the increasing severity of environmental issues, photovoltaic (PV) power generation, as a clean and renewable energy source, has attracted widespread attention. However, the performance of PV systems is easily affected by factors such as irradiance and temperature in complex environments, leading to significant fluctuations in output power and making it difficult to achieve stable and efficient energy conversion. To address this issue, this paper proposes an enhanced maximum power point tracking (MPPT) algorithm based on the combination of improved gray wolf optimizer (GWO) and incremental conductance (inc) methods, aiming to improve the adaptability and stability of PV systems in complex environments. By introducing innovative measures such as a candidate point dynamic focusing mechanism, position updates with perturbation factors, a five-level dynamic step-size strategy, direction consistency detection, and momentum suppression, the algorithm improves the search efficiency of the GWO and its adaptability to environmental mutations, avoids the drawbacks of fixed step sizes, and reduces overshoot and oscillations. Simulation verification was carried out on a simulation platform. The simulation results show that under various operating conditions, the algorithm achieves a good adaptive balance between global exploration and local exploitation, with tracking efficiency consistently above 99%, significantly improving the accuracy and efficiency of maximum power point tracking.

关键词： PV system MPPT control algorithm GWO algorithm inc algorithm enhanced GWO-inc algorithm shadow condition

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Design and Analysis of Grid Interfaced 43-Level CHB Multilevel Converter for Integrating 10 MW Solar PV Plant

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IETE JOURNAL OF RESEARCH 2023年第7期69卷 4690-4699页

作者： Kulkarni, Jyoti Kumar, Narendra Singh, Bhim Delhi Technol Univ Dept Elect Engn New Delhi 110042 India Indian Inst Technol Delhi Dept Elect Engn New Delhi 110016 India

Megawatt solar plants are the reality now with nations looking for GW installed capacity. This high power is possible because of increased power levels in photovoltaic (PV) energy conversion systems. The multilevel converter (MLC) is the emerging technology for interfacing medium and higher voltage grids. This paper gives the design and analysis of transformerless grid interfaced single-stage 43-level Cascaded H-bridge (CHB)-based MLC for integrating large-scale solar PV plants with improved Total Harmonic Distortion (THD). Transformerless integration and reduced filter size, due to improved THD, contribute appreciable savings in the Capital Expenditure and Operation and Maintenance cost of the big solar PV plant. This paper also showcases the design-based strategy for deciding the levels used in the MLC, making it both efficient and economical. The control scheme comprises voltage-oriented control (VOC) with synchronous reference frame (SRF) and phase-locked loop (PLL). The low-frequency phase-shifted pulse width modulation (PWM) suitable for the cascaded MLC is used for modulation. The separate incremental conductance (inc) algorithm is used for the extraction of maximum power from each solar PV array. This algorithm takes care of the unforeseen insolation level changes, shading effect, ambient temperature, and other related factors of the multi-string SPV system. The simulation is performed in MATLAB/Simulink and validated on an OPAL RT simulator. Both steady-state and dynamic behaviors at different insolation levels of the considered system are studied. The performance is validated as per the IEEE-519 standard requirement. Decent decrease in THD of grid current is observed with low switching losses.

关键词： Cascaded H-bridge inc algorithm PLL PS-PWM SPV SRF THD VOC

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Integration and Implementation of Stand-Alone Photovoltaic Systems with Battery Backup: Optimization via Tuned PI Controller with Genetic algorithms

Integration and Implementation of Stand-Alone Photovoltaic S...

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27th International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)

作者： Idris, Doha Kamal Mohamed Martis, Claudia Steluta Tech Univ Cluj Napoca Cluj Napoca Romania

This paper outlines the implementation and optimization of a stand-alone PV system using MAT LAB, the focus is on optimizing the system by PI controller, tuned through a Genetic algorithm to reduce the oscillations ca... 详细信息

ISBN: (纸本)9798350387605;9798350387599

关键词： PV system inc algorithm MPPT optimization Genetic algorithms

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Maximum power harvesting from a PV system using an improved two-stage MPPT scheme based on incremental conductance algorithm and integral controller

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INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL 2022年第2期40卷 176-191页

作者： Atia, Mostufa Bouarroudj, Noureddine Ahriche, Aimad Djari, Abdelhamid Houam, Yehya Univ MHamed Boguera Fac Technol Lab Energet Mecan & Ingn Ave Independance Boumerdes 3500 Algeria Ctr Dev Energies Renouvelable CDER Unite Rech Appl Energies Renouvelable URAER Ghardaia 47133 Algeria Univ Boumerdes Fac Hydrocarbons & Chem Dept Automat Boumerdes Algeria Larbi Tebessi Univ Fac Sci & Technol Dept Elect Engn Tebessa Algeria

This article deals with a novel strategy called two-stage incremental conductance (inc) algorithm for maximum power point tracking (MPPT) for photovoltaic (PV) systems. This method is proposed to tackle the shortcomings of classical incremental conductance (inc) method such as oscillations, imperfect MPPT, slow tracking of MPP, etc. These demerits stem from the use of a one-stage inc algorithm with a fixed duty cycle step size, which cannot provide the optimal duty cycle especially under changing weather conditions (temperature and irradiance) and resistive load. The first stage of the proposed approach is used for providing the reference voltage using the inc algorithm;and the second one is an integrator controller tuned by Routh's criterion used to ensure the stability of the voltage closed loop control. Simulation and numerical results in different cases confirm the superiority of the proposed two-stage inc algorithm over the classical one based on one stage, with an efficiency of more than 93.75%.

关键词： PV-module boost converter inc algorithm one stage two stages maximum power point tracking MPPT Routh's criterion

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Fuzzy based incremental conductance algorithm stabilized by an optimal integrator for a photovoltaic system under varying operating conditions

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ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS 2021年第1期47卷 9682-9707页

作者： Bouarroudj, Noureddine Benlahbib, Boualam Houam, Yehya Sedraoui, Moussa FeliuBatlle, Vicente Abdelkrim, Thameur Boukhetala, Djamel Boudjema, Fares CDER Devis Mini Cent Solaires Unite Rech Appl Energies Renouvelables Ctr Dev Energies RenouvelablesURAER Ghardaia 47133 Algeria Univ Biskra Elect Engn Dept Lab LGEB Biskra Algeria Univ 8 May 1945 Guelma Fac Sci & Technol Dept Elect & Telecommun Guelma Algeria Univ Castilla La Mancha Sch Ind Engn Av Camilo Jose Cela Ciudad Real 13001 Spain Univ Castilla La Mancha Inst Invest Energet & Aplicac Ind Av Camilo Jose Cela Ciudad Real 13001 Spain Ecole Natl Polytech Lab Commande Procesct 3Sus 10 Rue Freres OUDEK El Harrach 16200 Algeria

In renewable system control engineering, Maximum Power Point Tracking (MPPT) techniques are considered as one of the key steps in photovoltaic (PV) system development. Indeed, some MPPT techniques provide high performance under uniform irradiation and temperature conditions. However, their performance significantly degrades when the two preceding climatic conditions suddenly change. Therefore, this paper proposes a new voltage regulation based on Fuzzy Logic Control (FLC) strategy and small-signal model of DC-DC booster converter. The proposed control scheme is mainly based on the indirect incremental conductance (inc) technique, equipped with an optimal integrator controller (OIC). It is implemented in a PV system, consisting of a DC-DC boost converter connected to a resistive load, with the main objective of ensuring a good MPP tracking behavior for variable operating conditions. To achieve this objective, the proposed MPPT strategy is designed around two stages. First, the smooth reference voltage is ensured by a Single-Input Single-Output (SISO) fuzzy logic controller using the inc technique based on the MPPT approach. Then, the optimal integrator controller stabilizing the closed-loop system is integrated with optimization of its parameter according to Routh's criterion for resistive load variations. Simulation results confirm the effectiveness of the proposed MPPT technique compared to some commonly used MPPT approaches. The superiority of the proposal is proven by using efficiency ratio, which rises more than 98% in all case studies. These objectives are ensured for both uniform and critical sudden change in weather conditions, regardless of resistive load variations.

关键词： PV-module boost converter MPPT inc algorithm fuzzy logic controller integrator controller Routh's criterion

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Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates

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IET RENEWABLE POWER GENERATION 2016年第2期10卷 133-139页

作者： Elgendy, Mohammed Ali Atkinson, David John Zahawi, Bashar Newcastle Univ Sch Elect & Elect Engn Newcastle Upon Tyne NE1 7RU Tyne & Wear England Desert Res Ctr New & Renewable Energy Dept Cairo 11753 Egypt Khalifa Univ Dept Elect & Comp Engn Abu Dhabi 127788 U Arab Emirates

One of the most commonly utilised maximum power point tracking (MPPT) algorithms for photovoltaic (PV) generators is the incremental conductance (inc) algorithm. Yet, the operating characteristics of this algorithm at high perturbation frequencies, when the system response to MPPT perturbations is never allowed to settle, have not been addressed in the literature. This study characterises system behaviour in this operating mode experimentally for a standalone PV system with a dc motor-pump load. Results show that the inc algorithm operating at a high perturbation rate offers higher energy utilisation efficiency and better system performance despite the resulting non-periodic waveforms of the system.

关键词： maximum power point trackers photovoltaic power systems nonperiodic waveforms system performance energy utilisation efficiency dc motor-pump load standalone PV system high perturbation frequencies inc algorithm PV generators photovoltaic generators MPPT perturbations high perturbation rates incremental conductance maximum power point tracking algorithm

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MRAS Based Speed Estimation of Single Stage Solar Powered Vector Controlled Induction Motor Drive for Water Pumping 7

MRAS Based Speed Estimation of Single Stage Solar Powered Ve...

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7th IEEE Power India International Conference (PIICON)

作者： Shukla, Saurabh Singh, Bhim Indian Inst Technol Delhi Dept Elect Engn New Delhi 110016 India

ISBN: (纸本)9781467389624

The main objective of this paper is to implement solar powered speed sensorless vector control of induction motor drive for water pumping. The technique being used for speed estimation is a model reference adaptive system (MRAS). The MRAS speed sensorless technique is also used for motor parameters adaptation viz. stator resistance (Rs) and rotor time constant (Tr). The main objectives served by this technique include improved robustness and reliability of overall system and insensitivity towards parameters variation. The induction motor driven water pump is powered by single stage solar photovoltaic (SPV). The appropriateness of proposed system is verified in MATLAB/Simulink environment under various operating conditions.

关键词： Speed sensorless control Model reference adaptive system (MRAS) Vector control Solar photovoltaic (PV) inc algorithm Induction motor drive (IMD) Water pump

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Single-sensor maximum power point tracking algorithms

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IET RENEWABLE POWER GENERATION 2013年第1期7卷 82-88页

作者： Urayai, Caston Amaratunga, Gehan A. J. Univ Cambridge Dept Engn Elect Engn Div Cambridge CB3 0FA England

Single-sensor maximum power point tracking algorithms for photovoltaic systems are presented. The algorithms have the features, characteristics and advantages of the widely used incremental conductance (inc) algorithm. However;unlike the inc algorithm which requires two sensors (the voltage sensor and the current sensor), the single-sensor algorithms are more desirable because they require only one sensor: the voltage sensor. The algorithms operate by maximising power at the DC-DC converter output, instead of the input.

关键词： DC-DC power convertors electric sensing devices photovoltaic power systems maximum power point trackers DC-DC converter voltage sensor inc algorithm incremental conductance algorithm photovoltaic systems single-sensor maximum power point tracking algorithms

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