A New Golden Eagle Optimization with Stooping Behaviour for Photovoltaic Maximum Power Tracking under Partial Shading DOI Creative Commons
Zhi-Kai Fan, Kuo Lung Lian, Jiafu Lin

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(15), P. 5712 - 5712

Published: July 31, 2023

Solar photovoltaic (PV) systems often encounter a problem called partial shading condition (PSC), which causes significant decrease in the system’s output power. To address this issue, meta-heuristic algorithms (MHAs) can be used to perform maximum power point tracking (MPPT) on multiple-peak P-V curves due PSCs. Particle swarm optimization was one of first MHA methods implemented for MPPT. However, PSO has some drawbacks, including long settling time and sustained PV oscillations during tracking. Hence, improved have been proposed. One approach is combine with deterministic (DA) such as P & O method. hybrid method more complex implement. Also, transition criteria from DA vice versa sometimes difficult define. Another approach, adapted paper modify existing MHAs. This includes modifying search operators or parameter settings, enhance exploration exploitation capabilities proposed incorporate stooping behaviour golden eagle (GEO) algorithm. Stooping fact hunting technique frequently employed by eagles. Inclusion GEO algorithm not only truly model eagles’ but also yields great performance. behavior requires extra parameter. Nevertheless, average, reduce 42.41% improve dynamic accuracy 1.95%, compared GEO. Moreover, PSO, GWO, BA, achieves an improvement 2.66%, 3.56%, 4.24% accuracy, respectively.

Language: Английский

An Improved PSO-Based MPPT Technique Using Stability and Steady State Analyses Under Partial Shading Conditions DOI
Reza Sangrody, Shamsodin Taheri, Ana-Maria Crețu

et al.

IEEE Transactions on Sustainable Energy, Journal Year: 2023, Volume and Issue: 15(1), P. 136 - 145

Published: May 11, 2023

Partial shading (PS) conditions create challenging issues for the maximum power point tracking (MPPT) algorithms in photovoltaic (PV) systems such as getting stuck local points (LMPP), slow time and fluctuations generated during global (GMPP). To address these issues, this article brings contributions by proposing an improved PSO-based MPPT technique tailored PS conditions. First, to highlight weakness of traditional PSO-MPPT technique, its stability steady state behavior is analyzed depth. Second, required criteria achieve a stable response are obtained. Finally, novel estimate convex area versus voltage (P-V) curve presented where GMPP located using two boundaries. The performance proposed experimentally validated. results capabilities finding with rapid convergence small fluctuations. applicable most PV inverters under any

Language: Английский

Citations

31
A novel on high voltage gain boost converter with cuckoo search optimization based MPPTController for solar PV system DOI Creative Commons

T. Mariprasath,

CH Hussaian Basha,

Baseem Khan

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 12, 2024

Abstract Traditionally, isolated and non-isolated boost converters are used for solar photovoltaic systems (SPV). These have limitations such as low voltage gain, less ripples, temperature dependence, high stress across the switches, being bulky in size. Besides, PV system also has non-linear characteristics between I–V P–V, energy yield potential is affected by partial shading phenomena. Therefore, maximum power point tracking (MPPT) added to SPV get output under steady dynamic climate conditions. Although conventional MPPT drawbacks accuracy predicting MPP conditions, speed, more Hence, research proposes a stackable single switch converter (SSBC) with Cuckoo search controller system. The efficiency of proposed circuit topology been compared various MPPTs. Subsequently, true CSO that PSO FPNA. results show, CMPPT CBC produced whereas BMPPT SSBC produces ripple-free It observed than TMPPT. better other combinations. Finally, prototype model developed verified.

Language: Английский

Citations

16
Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid DOI Creative Commons
Burhan U Din Abdullah,

Suman Lata Dhar,

Shiva Pujan Jaiswal

et al.

Frontiers in Energy Research, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 3, 2025

Introduction Photovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to nonlinear behavior. Operating current and fluctuations, driven by temperature radiation changes, significantly impact power output. Traditional Maximum Power Point Tracking (MPPT) methods struggle adapt accurately these dynamic environmental conditions. While Artificial Intelligence (AI) optimization techniques show promise, implementation complexity longer attainment times for (MPP) hinder widespread adoption. Method This paper proposes hybrid MPPT technique that integrates the Pelican Optimization algorithm (POA) with Perturb Observe (P&O) grid-connected photovoltaic system (PV). The proposed consists of two loops: PO reference point setting loop (inner loop) POA fine-tuning (outer)loop. combination inner outer loops minimizes oscillations adjusting perturbation direction enhancing convergence speed MPPT. Results Discussion To validate efficacy different conditions, comprehensive comparison is conducted between pelican perturb observe (HPPO) other algorithms. has optimized PV grid outputs an 99%, best tracking speed, total harmonic distortion (THD) all conditions below 5% agree IEEE 519 standards.

Language: Английский

Citations

1
An efficient tangent search based power harnessing algorithm for photovoltaic energy generation system DOI
Injila Sajid, Adil Sarwar, Mohd Tariq

et al.

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110118 - 110118

Published: Feb. 2, 2025

Language: Английский

Citations

1
Emerging maximum power point control algorithms for PV system: review, challenges and future trends DOI
Muhammad Abu Bakar Siddique,

Dongya Zhao,

Ateeq Ur Rehman

et al.

Electrical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

Citations

1
Rayleigh Distribution-Based Novel and Efficient MPPT Algorithm for Rooftop PV System With Competence to Distinguish Different Dynamics DOI
Pushpa Kumari, Nishant Kumar, Bijaya Ketan Panigrahi

et al.

IEEE Transactions on Consumer Electronics, Journal Year: 2023, Volume and Issue: 70(1), P. 58 - 67

Published: July 18, 2023

The dynamic environment conditions entail the need for MPPT technique Solar Photovoltaic (SPV) System, which ensures optimal utilization of available solar energy. In this article, Rayleigh distribution-based Particle Swarm Optimization (RDPSO) method has been proposed maximum power extraction from PV panels. approach developed to enhance exploration and exploitation characteristics PSO quick detection GMPP with high efficacy. Teaser-Kaiser energy Operator(TKEO) used mitigate redundancy in search space, improving convergence speed. addition, a novel identify system dynamics caused by variations irradiation level, shading conditions, load fluctuations. rooftop systems fluctuations consumers’ loads are frequent events. initialization heuristic owing creates additional stress on impacts overall performance life span connected equipment. Therefore, proficiency respond quickly without re-initializing method. validated different conditions. outcomes proved that presented is having speed along minimal fluctuation during process.

Language: Английский

Citations

19
An Adaptive Perturb and Observe Algorithm With Enhanced Skipping Feature for Fast Global Maximum Power Point Tracking Under Partial Shading Conditions DOI
Sajib Ahmed, Saad Mekhilef, Marizan Mubin

et al.

IEEE Transactions on Power Electronics, Journal Year: 2023, Volume and Issue: 38(9), P. 11601 - 11613

Published: June 13, 2023

Solar energy exposed its prominence to diminish the growing demands. But formation of multiple peaks under partial shading conditions causes conventional maximum power point tracking controllers fail track global (GMPP). Scanning whole power–voltage curve locate GMPP takes extreme time and reduces algorithm effectiveness. Thus, proposed method devotes skipping scanning mechanism incorporated with perturb observe (P&O) reduce area drastically. The skips over areas between successive based on a specific formula that narrows down zone. Along buck–boost converter, system includes voltage control loop controlled by proportional–integral controller. algorithm's effectiveness is tested in both simulation experimental environments discretized patterns, while deployed at different locations. According outcomes, outperforms modified trapezium, fast GMPP, cuckoo search, P&O an average convergence 1.02 s efficiency 99.44%.

Language: Английский

Citations

17
GAO Optimized Sliding Mode Based Reconfigurable Step Size Pb&O MPPT Controller With Grid Integrated EV Charging Station DOI Creative Commons
Debabrata Mazumdar, Pabitra Kumar Biswas⃰, Chiranjit Sain

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 12, P. 10608 - 10620

Published: Dec. 18, 2023

The deployment of renewable energy sources has become more frequent in power system networks over the last few years. prevalence global warming and some catastrophic climate changes is rising, along with demand for intricate transport systems, as a result rapid growth civilization modernization culture. To fight this environmental issue associated vehicle transmission, almost every nation promoting electric vehicles (EV). In article, novel method developing sliding mode maximum point tracking (MPPT) controller photovoltaic (PV) systems operating rapidly varying atmospheric circumstances put forward. Further, standard Perturb observe (Pb&O) algorithm's variable step driven by best (SLMC) gains, which are determined using Genetic Algorithm (GAO). Additionally, PI controller, grid employing current controlling topology, an effective charging station constructed GAO-optimized Sliding Mode-based reconfigurable size Pb&O MPPT executed tested MATLAB/Simulink optimal control EV station. main contribution study to enhance created controller's performance reach (MPP) negligible oscillation, low overshoot, minimum ripple, excellent speed conditions air turbulence that change quickly, well ensure continuity supply EV. Furthermore, developed whole shows good efficacy compared other existing reviewed literature. Finally, proposed strategy ensures even uncertain weather conditions, integration also plays vital role overall demand.

Language: Английский

Citations

15
Conventional and Switched Capacitor Boost Converters for Solar PV Integration: Dynamic MPPT Enhancement and Performance Evaluation DOI Creative Commons
Mansour Hawsawi, Hanan Mikhael D. Habbi,

Edrees Yahya Alhawsawi

et al.

Designs, Journal Year: 2023, Volume and Issue: 7(5), P. 114 - 114

Published: Sept. 29, 2023

This paper designs two DC-DC converter configurations integrated with solar PV renewable energy resource. Its focuses on comparing topologies: the conventional boost and switched capacitor converter. The Perturb Observe (P&O), Incremental Conductance (INC), Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithms are employed to dynamically enhance Maximum Power Point Tracking (MPPT) performance for both converters. simulation results demonstrate that topologies, when appropriate MPPT algorithms, can effectively harvest maximum power from PV. However, topology exhibits advantages in terms of current capabilities voltage performance. In addition, combing GA-MPPT algorithm improved output profile. demonstrates distinct by exhibiting enhanced control, enabling handling dynamic load changes varying irradiance conditions. It shows regulation, resulting reduced fluctuations stability, thereby optimizing extraction. a substantial increase maximized configuration (70 A) compared type (10 A). validation implementation system models carried out using MATLAB/Simulink.

Language: Английский

Citations

14
A Hybrid Artificial Ecosystem Optimizer and Incremental-Conductance Maximum-Power-Point-Tracking-Controlled Grid-Connected Photovoltaic System DOI Creative Commons
Burhan U Din Abdullah, Suman Lata,

Shiva Pujan Jaiswal

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(14), P. 5384 - 5384

Published: July 14, 2023

When tracking the peak power point in PV systems, incremental conductance is most common technique used. This approach preserves first trap local point, but it unable to quickly keep up with ever-changing under varying irradiance and temperature conditions. In this paper, authors propose a hybrid algorithm, combining an artificial ecosystem optimizer incremental-conductance-based MPPT solve these issues of traditional The proposed algorithm has been applied three scenarios, namely constant condition, condition. Under array maintained at 25 °C 1000 W/m2. voltage DC link neutral-pointed-clamped inverter V. increased from 400 W/m2 W/m2with step size 0.2 s. same while decreasing level W/m2, change However, °C. varies 35 °C, 15 10 s, all conditions V, which confirms that able vary duty cycle pulse wave modulation generator such manner variable produced by changed flyback converter into stable voltage. simulation results show total harmonic distortion (THD) simulated scenarios within 5%, agrees IEEE standards. future, may be compared other types available MPPTs partial shading.

Language: Английский

Citations

12