A Comparative Study of Perturb and Observe (P&amp;O) and Incremental Conductance (INC) PV MPPT Techniques at Different Radiation and Temperature Conditions

Ahmad, Marwan; Numan, Ali; Mahmood, Dhari Y.

doi:10.30684/etj.v40i2.2189

Cited by 9 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the partial shading condition, power loss and instability start to decrease when P&O approach reaches its maximum value. As a result, the process of obtaining the ideal working situation moves along more quickly and with fewer oscillations [28]. If the irradiance is higher, P&O observed, 𝑑𝑉 and 𝑑𝐼 as null and hence, the duty cycle is developed through 𝛥𝐷𝑛 that is stated as variable step size which is represented in (14).…”

Section: Perturb and Observementioning

confidence: 99%

Energy management strategy for photovoltaic powered hybrid energy storage systems in electric vehicles

Ramanjaneyulu Korada,

Brinda,

Dhanusu Soubache

2024

IJECE

View full text Add to dashboard Cite

Nowadays, electric vehicles (EVs) using additional energy sources frequently deliver a safe ride without concern about the distance. The energy sources including a battery, an ultra-capacitor (UC), and a photovoltaic (PV) are considered in this research for driving the EV. Vehicles that only use battery-oriented technologies experience problems with charging and quick battery discharge. EVs are used with an ultracapacitor to decrease the quick discharge effects and increase the lifetime of the battery. Furthermore, bidirectional DC-DC converters are a type of power electronics device used to verify the smooth transfer of generated power from energy sources to the motor throughout various stages of the driving cycle. Therefore, this study proposes a perturb and observe (P&O) energy management control technique based on tuna swarm optimization (TSO). The suggested TSO-P&O completely uses UC while regulating the battery because it lowers dynamic battery charging and discharging currents. Due to the aforementioned aspect, the suggested TSO-P&O increases battery life and demonstrates a very dependable, long range power source for an electric car. The TSO-P&O technique achieves the EVs by obtaining the maximum speed of 91.93 km/hr. with a quicker settling time of 4,930 ms when compared with the existing zero-fuel zero-emission (ZFZE) method.

show abstract

Section: Perturb and Observementioning

confidence: 99%

Energy management strategy for photovoltaic powered hybrid energy storage systems in electric vehicles

Ramanjaneyulu Korada,

Brinda,

Dhanusu Soubache

2024

IJECE

View full text Add to dashboard Cite

show abstract

“…This is achieved through effective control of a commonly utilized boost converter, employing the Maximum Power Point Tracking (MPPT) technique. The core principle of this tracking method revolves around extracting the maximum power from the PV panels utilizing incremental conductance (INC) algorithms [27][28][29].…”

Section: Maximizing Power Output With Incmentioning

confidence: 99%

Optimizing Power Quality: Simulation of UPQC Integrated PV with Comprehensive Reliability and Performance Analysis

2024

ijSmartGrid

View full text Add to dashboard Cite

The integration of Photovoltaic (PV) systems with a Unified Power Quality Conditioner (UPQC) is examined in this presentation. Shunt and series voltage compensators linked back-to-back with a common dc-link compose the PV-UPQC. The series active power filter ensures the maintenance of the desired magnitude without distortion. Meanwhile, the shunt active power filter injects harmonic currents into the grid with equal amplitude and opposite phase, obtained by utilizing the PQ theory technique for shunt APF control and the Unit Vector Template Generation (UVTG) approach for series APF control. The study reveals promising results in terms of improved power quality, harmonics reduction, and effective voltage stabilization.

show abstract

Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation

Khan,

Raza,

Faheem

et al. 2024

Engineering Reports

View full text Add to dashboard Cite

The increasing global need for renewable energy sources, driven by environmental concerns and the limited availability of traditional energy, highlights the significance of solar energy. However, weather fluctuations challenge the efficiency of solar systems, making maximum power point tracking (MPPT) systems crucial for optimal energy harvesting. This study compares ten MPPT approaches, including both conventional and artificial intelligence (AI)‐based techniques. These controllers were designed and implemented using MATLAB Simulink, and their performance was evaluated under real environmental conditions with fluctuating irradiance and temperature. The results demonstrate that conventional techniques, such as incremental conductance (INC), Perturb and Observe (P&O), Incremental conductance and Particle Swam Optimization (INC‐PSO), Fuzzy Logic Control and Particle Swam Optimization (FLC‐PSO), and Perturb and Observe and Particle Swam Optimization (P&O‐PSO), achieved accuracies of 94%, 97.6%, 98.9%, 98.7%, and 99.3% respectively. In contrast, AI‐based intelligent techniques, including Artificial Neural Network (ANN), Artificial Neural Fuzzy Interference System (ANFIS), Fuzzy Logic Control (FLC), Particle Swam Optimization (PSO), and Artificial Neural Network and Particle Swam Optimization (ANN‐PSO), outperform achieving higher accuracies of 97.8%, 99.9%, 98.9%, 99.2%, and 99%, respectively. Compared to available research, which often reports lower accuracies for conventional techniques, our study highlights the enhanced performance of AI‐based methods. This study provides a comprehensive comparative analysis, delivering critical analysis and practical guidance for engineers and researchers in selecting the most effective MPPT controller optimized to specific environmental conditions. By improving the efficiency and reliability of solar power systems, our research supports the advancement of sustainable energy solutions.

show abstract

A Comparative Study of Perturb and Observe (P&O) and Incremental Conductance (INC) PV MPPT Techniques at Different Radiation and Temperature Conditions

Cited by 9 publications

References 16 publications

Energy management strategy for photovoltaic powered hybrid energy storage systems in electric vehicles

Energy management strategy for photovoltaic powered hybrid energy storage systems in electric vehicles

Optimizing Power Quality: Simulation of UPQC Integrated PV with Comprehensive Reliability and Performance Analysis

Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation

Contact Info

Product

Resources

About