A5080632612- Multilevel Inverters and Converters
- Photovoltaic System Optimization Techniques
- Silicon Carbide Semiconductor Technologies
- Microgrid Control and Optimization
- Solar Radiation and Photovoltaics
- Solar Thermal and Photovoltaic Systems
- Smart Grid Energy Management
- solar cell performance optimization
- Induction Heating and Inverter Technology
- HVDC Systems and Fault Protection
- Energy Load and Power Forecasting
- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Advanced DC-DC Converters
- Traffic Prediction and Management Techniques
- Agricultural Economics and Practices
Aligarh Muslim University
2023-2025
In this paper, the Levenberg–Marquardt (LM), Bayesian regularization (BR), resilient backpropagation (RP), gradient descent momentum (GDM), Broyden–Fletcher–Goldfarb–Shanno (BFGS), and scaled conjugate (SCG) algorithms constructed using artificial neural networks (ANN) are applied to problem of MPPT energy harvesting in solar photovoltaic (PV) systems for purpose creating a comparative evaluation performance six distinct algorithms. The goal analysis is determine which has best overall...
Solar photovoltaic (PV) technology stands as a promising alternative to conventional fossil fuel-based power generation, offering pollution-free and low-maintenance energy production. To harness its potential effectively, understanding the generation process accurately modeling solar PV systems are essential. Unfortunately, manufacturers often do not provide necessary parameters for cells, making it challenging researchers. This research employs Archimedes Optimization Algorithm (AOA), an...
This work introduces an 11-level switched-capacitor multilevel inverter (SCMLI) designed for solar photo-voltaic (PV) applications, capitalizing on the growing popularity of inverters due to their superior power quality. With a 1.67-times boosting capability, proposed SCMLI employs 10 switches, 2 DC supplies, and capacitors achieve output voltage waveform. The topology requires only seven driver circuits, incorporating bidirectional switches 3 complementary pairs switches. has intrinsic...
Abstract The use of a multilevel inverter has received significant attention in recent years due to its numerous advantages. Because the widespread inverters industries and applications that require wide range voltages, achieving high‐quality voltage presented number challenges. Many studies have been carried out address problem unwanted harmonics inverters. switching can be done at low frequency using Selective Harmonic Elimination (SHE) technique, significantly reduced; however, issue with...
The efficient extraction of solar PV power is crucial to maximize utilization, even in rapidly changing environmental conditions. increasing energy demands highlight the importance photovoltaic (PV) systems for cost-effective production. However, traditional with bypass diodes at their output terminals often produce multiple peaks, leading significant losses if optimal combination voltage and current not achieved. To address this issue, algorithms capable finding highest value a function are...
Smart grids leverage data-driven methodologies to anticipate consumers' energy demand, enabled by deep learning models analyzing vast amounts of data. These modern approaches address demand forecasting challenges, facilitating efficient electricity transportation based on anticipated consumption patterns. Deep learning's trend identification in customer data empowers accurate estimates across diverse horizons. In this paper, we present a customized lightweight LSTM-RNN model for load...
In this paper, an artificial neural network technique is introduced for the application of Selective Harmonic Elimination (SHE) a five-level packed U cell inverter. SHE low-frequency modulation approach multilevel converter control and harmonic elimination. The proposed ANN-SHE method involves computing optimal switching angles through system nonlinear equations to reduce total distortion (THD) based on Fourier series analysis. multilayer perceptron algorithm, which type ANN that well-suited...