A Novel Hermite Interpolation-Based MPPT Technique for Photovoltaic Systems Under Partial Shading Conditions DOI Creative Commons
Chuanlai Yuan, Juntao Xia, Fengyuan Huang

et al.

IEEE photonics journal, Journal Year: 2024, Volume and Issue: 16(2), P. 1 - 10

Published: Feb. 26, 2024

Solar energy is a sustainable and highly promising renewable source. The commonly employed Perturbation Observation (P&O) Incremental Conductance (INC) methods exhibit advantages such as ease of implementation. However, achieving maximum power through Maximum Power Point Tracking (MPPT) proves challenging under partial shading conditions (PSCs). This paper proposes novel MPPT based on segmented cubic Hermite interpolation (HPO) to efficiently track the all weather conditions. proposed applied photovoltaic system comprised array boost chopper. feasibility effectiveness HPO algorithm are validated comparison with INC Particle Swarm Optimization (PSO) methods. A solar (HPO-MPPT) was constructed using MATLAB/SIMULINK software. underwent testing four different lighting conditions, revealing an average tracking efficiency speed 99.84% 0.28s, respectively, these Notably, method achieved highest 99.99% fastest 0.23s PSCs.

Language: Английский

Comprehensive Review of Electric Vehicle Technology and Its Impacts: Detailed Investigation of Charging Infrastructure, Power Management, and Control Techniques DOI Creative Commons
Madhav Kumar, Kaibalya Prasad Panda, R. T. Naayagi

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(15), P. 8919 - 8919

Published: Aug. 2, 2023

Electric vehicles (EVs) are universally recognized as an incredibly effective method of lowering gas emissions and dependence on oil for transportation. Electricity, rather than more traditional fuels like gasoline or diesel, is used the main source energy to recharge batteries in EVs. Future demand should decline a result predicted rise number EVs road. The charging infrastructure considered key element EV technology where recent research mostly focused. A strong that serves both urban rural areas, especially those with unstable nonexistent electrical supply, essential promoting global adoption Followed by different structures such fuel-cell- battery-integrated EVs, infrastructures thoroughly reviewed three modes, specifically—off-grid (standalone), grid-connected, hybrid modes (capable standalone grid-connected operations). It will be interesting readers understand detail several energy-source-based systems usage stations power levels. Towards improvement lifetime efficiency methods integration microgrid architectures investigated. multi-energy system, which requires management control optimize utilization. This review article also includes evaluation strategies followed impact assessment utility grid. findings future directions provided this extremely beneficial operators engineers.

Language: Английский

Citations

95
A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions DOI Creative Commons

CH Hussaian Basha,

Madhu Palati, C. Dhanamjayulu

et al.

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

Published: Jan. 18, 2024

Abstract At present, fossil fuel-based power generation systems are reducing drastically because of their less availability in nature. In addition, it produces hazardous gasses and high environmental pollution. So, this work, the solar natural source is selected for generating electricity. Due to nonlinear behavior PV, achieving maximum voltage from Photovoltaic (PV) system a more tough job. various hybrid optimization controllers studied tracing working point PV under different Partial Shading Conditions. The MPPT methods equated terms oscillations across MPP, output extraction, settling time dependency on modeling, operating duty value converter, error finding accuracy MPPT, algorithm complexity, tracking speed, periodic tuning required, number sensing parameters utilized. Based simulative comparison results, has been observed that modified Grey Wolf Optimization based ANFIS method provides good results when with other techniques. Here, conventional converter helps increase one level another level. proposed investigated by using MATLAB/Simulink tool.

Language: Английский

Citations

29
An Enhanced Incremental Conductance MPPT Approach for PV Power Optimization: A Simulation and Experimental Study DOI
Abdеlkhalеk Chеllakhi, Said Еl Bеid, Younes Abouelmahjoub

et al.

Arabian Journal for Science and Engineering, Journal Year: 2024, Volume and Issue: 49(12), P. 16045 - 16064

Published: March 8, 2024

Language: Английский

Citations

16
A Comprehensive Review of Recent Maximum Power Point Tracking Techniques for Photovoltaic Systems under Partial Shading DOI Open Access
Muhammed Y. Worku, Mohamed A. Hassan, Luqman S. Maraaba

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(14), P. 11132 - 11132

Published: July 17, 2023

To operate photovoltaic (PV) systems efficiently, the maximum available power should always be extracted. However, due to rapidly varying environmental conditions such as irradiation, temperature, and shading, determining is a time-varying problem. extract track optimal point under these conditions, tracking (MPPT) techniques are proposed. The application of MPPT for extracting plays crucial role in developing efficient PV systems. These face several issues limitations, particularly during partial shading caused by non-uniform conditions. Researchers have been focusing more on mitigating condition last few years need improve output efficiency. This paper provides an overview MPPTs proposed literature uniform broadly categorized MPPT-based circuit-based methods. methods classified conventional, soft computing, hybrid techniques. A critical analysis each approach regarding speed, algorithm complexity, dynamic discussed. shows strategies provide fast-tracking speed with efficiency around 99% compared conventional methods; however, their design practical implementation complex. comprehensive review aims utilities researchers reference guideline select best method normal operation partially shaded based effectiveness economic feasibility.

Language: Английский

Citations

25
Integrated solar-based PEMWEs for green electricity production DOI
Ayşe Kocalmış Bilhan

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 75, P. 415 - 427

Published: Feb. 16, 2024

Language: Английский

Citations

12
A Review of Traditional and Advanced MPPT Approaches for PV Systems Under Uniformly Insolation and Partially Shaded Conditions DOI Creative Commons
Mustafa Sacid Endiz, Göksel Gökkuş, Atıl Emre Coşgun

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1031 - 1031

Published: Jan. 21, 2025

Solar photovoltaic (PV) is a crucial renewable energy source that converts sunlight into electricity using silicon-based semiconductor materials. However, due to the non-linear characteristic behavior of PV module, module’s output power varies according solar radiation and ambient temperature. To address this challenge, maximum point tracking (MPPT) techniques are employed extract amount from modules. This paper offers comprehensive review widely used traditional advanced MPPT approaches in systems, along with current developments future directions field. Under uniform insolation, these methods compared based on their strengths weaknesses, including sensed parameters, circuitry, speed, implementation complexity, true MPPT, accuracy, cost. Additionally, algorithms evaluated terms performance reaching (MPP) under partial shading condition (PSC). Existing research clearly demonstrates exhibit superior efficiency comparison methods, although at cost increased design complexity higher expenses. By presenting detailed providing tables techniques, study aims provide valuable insights for researchers practitioners selecting appropriate applications.

Language: Английский

Citations

1
An asymmetric fuzzy-based self-tuned PSO-Optimized MPPT controller for grid-connected solar photovoltaic system DOI Creative Commons

Md. Naiem-Ur-Rahman,

Md. Mahmudul Hasan,

Afsana Mimi Raka

et al.

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100902 - 100902

Published: Jan. 1, 2025

Language: Английский

Citations

1
Reinforcement Neural Network-Based Grid-Integrated PV Control and Battery Management System DOI Creative Commons

Salah Mahdi Thajeel,

Doğu Çağdaş Atilla

Energies, Journal Year: 2025, Volume and Issue: 18(3), P. 637 - 637

Published: Jan. 30, 2025

A reinforcement neural network-based grid-integrated photovoltaic (PV) system with a battery management (BMS) was developed to enhance the efficiency and reliability of renewable energy systems. In such setup, PV generates electricity, which can be used immediately, stored in batteries, or fed into grid. The challenge lies dynamically optimizing power flow between these components minimize costs, maximize use energy, maintain grid stability. Reinforcement learning (RL) combined NNs offers powerful solution by enabling learn adapt its strategy real time. By using proposed techniques, convergence time decreased lower complexity compared existing approaches. RL agent interacts environment (i.e., grid, system, battery), continuously improving decisions regarding when store draw from battery, supply This intelligent control approach ensures optimal performance, contributing more sustainable resilient system.

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
Dynamic Controller Design for Maximum Power Point Tracking Control for Solar Energy Systems DOI Creative Commons
M. A. Fkirin,

Zeinab M. Gowaly,

Emad A. Elsheikh

et al.

Technologies, Journal Year: 2025, Volume and Issue: 13(2), P. 71 - 71

Published: Feb. 8, 2025

The demand for efficient renewable energy solutions has spurred the development of advanced maximum power point tracking (MPPT) algorithms photovoltaic (PV) systems, especially under variable atmospheric conditions. This study proposes a dynamic MPPT controller utilizing combination Long Short-Term Memory (LSTM)-based Artificial Neural Networks (ANNs) and Fuzzy Logic Control (FLC) to optimize extraction in solar systems across diverse irradiance temperature focuses on designing implementing these two algorithms, LSTM-ANN LSTM-FLC, effectively manage inherent variability generation due fluctuating conditions, ensuring that PV system consistently operates at its optimal point. proposed controllers are evaluated compared LSTM–Proportional Integral (PI) traditional methods, including ANNs, Logic, hybrid ANN–Fuzzy. performance metrics used evaluation include efficiency, response time, stability. simulation results with real-time data demonstrate LSTM-optimized significantly outperform conventional particularly adapting sudden changes temperature.

Language: Английский

Citations

1