Efficient maximum power tracking technique in grid connected PV-wind system

Renjith, A.; Selvam, P.

doi:10.1016/j.epsr.2022.108955

Cited by 7 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A. Renjith et al [20] presented a hybrid system for sustainable power generation that combines Photovoltaic (PV) and Wind Turbine (WT) technology. The system addresses the issue of partial shading in power generation and presents a hybrid technique for maximum power extraction and compensation utilizing the Adaptive Neuro Fuzzy Interference System-Honey Badger Algorithm (ANFIS-HBA).…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency Enhancement of a Hybrid Sustainable Energy Harvesting System Using HHHOPSO-MPPT for IoT Devices

et al. 2023

View full text Add to dashboard Cite

The Internet of Things (IoT) is a network of interconnected physical devices, vehicles, and buildings that are embedded with sensors, software, and network connectivity, enabling them to collect and exchange data. This exchange of data between the physical and digital worlds allows for a wide range of applications, from smart homes and cities to industrial automation and healthcare. However, a key challenge faced by IoT nodes is the limited availability of energy to support their operations. Typically, these nodes can only function for a few days based on their duty cycle. This paper introduces a solution that aims to ensure the sustainability of IoT applications by addressing this energy challenge. Thus, we develop a design of a hybrid sustainable energy system designed specifically for IoT nodes, using solar photovoltaic (PV) and wind turbines (WT) chosen for their multiple benefits and complementarity. The system uses the single-ended primary-inductance converter (SEPIC) and is controlled using a hybrid approach, combining Harris Hawks Optimization and Particle Swarm Optimization (HHHOPSO). Each SEPIC converter boost the electrical energy generated to attain the required voltage level when charging the battery. The proposed methodology is implemented in MATLAB/Simulink and its performance is measured using appropriate metrics. In terms of efficiency and average power, the results show that the suggested method outperforms previous strategies. Our system powers also many sensor nodes, leading to a high level of sustainability and lowering the carbon footprint associated with traditional energy sources.

show abstract

Section: Literature Reviewmentioning

confidence: 99%