Design and Development of a Low-Cost Grid Connected Solar Inverter for Maximum Solar Power Utilization

Bhukya, Muralidhar Nayak; Kumar, Manish; Mohan, V.

doi:10.1007/978-981-15-8586-9_37

Cited by 4 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Output Layer 𝑊 𝑛𝑒𝑤 = 𝑊 𝑜𝑙𝑑 − 𝜂 𝜕𝐿 𝜕𝑊 (19) The purpose of 'η' is to maintain the loss function to reach the global minimum value in short to the possible extent.…”

Section: Input Layer Hidden Layermentioning

confidence: 99%

Analysis of Residual Error in Closed Loop Operation of Brushless DC (BLDC) Motor using Novel Neural Network Approach

Manas,

Yadav,

Sharma

et al. 2023

Preprint

View full text Add to dashboard Cite

In existing technique for speed regulation of Brushless DC (BLDC) motor, great performance is achieved but only for fixed speed reference, during dynamic change in reference speed the existing techniques fail due to presence of non-linear complex parameter in the system. The proposed novel and simple Multi-Layer Perceptron (MLP) technique is capable of regulating the speed of a BLDC motor, according to dynamically changing reference paths, by minimizing residual error. The MLP, which is a compound of a deep learning artificial neural network, comprises two layers; one which receives speed error data from the traditional PID controller, and another which predicts the output data. Computations are carried out through Gradient Descent for arbitrary hidden layers, in order to reduce the speed error. As the computed output approaches the target, the optimal data for speed regulation is produced. This proposed MLP technique and Advanced Particle Swarm Optimization (APSO) algorithms have been simulated, using ramp, step, and sinusoidal reference speeds under the same platforms.

show abstract

Section: Input Layer Hidden Layermentioning

confidence: 99%

Analysis of Residual Error in Closed Loop Operation of Brushless DC (BLDC) Motor using Novel Neural Network Approach

Manas,

Yadav,

Sharma

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The salient features of Photovoltaic (PV) systems are environmentally friendly, economical, and easily integrated with conventional electrical grid [3]. In order to avoid power mismatch, solar panels are not connected directly to the load [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Implementation of Robust Metaheuristic Algorithm to Extract Essential Parameters of Solar Cell

Arandhakar

Chaudhary²,

Depuru³

et al. 2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

Optimization complications are solved using meta-heuristic methods, which transforms the complex data into simplest way and computational process is quite attractive because of their intensification, diversification, and accurate evaluating/computational behavior on the nonlinear data. Among different existing meta-heuristic algorithms, Tabu Search Optimization (TSO) algorithms have robust performance due to escaping strategy from local optimum and extensive extraction ability. Hence, this paper delineates the TSO searching technique for extracting the parasitic parameters of solar Photovoltaic (PV) modules under different climatic stipulations. Double diode design is developed and implemented in the operational aspect based on the extraction issue. The six parameters of the solar cell, i.e., I Ph , I 01 , I 02 , R S , R P , a 1 are emulated and the obtained data is investigated using TSO approach, at the same time the extracted data is compared with the effective selected metaheuristic algorithms such as Gravitational Search Algorithm (GSA), Lightning Search Algorithm (LSA), Pattern Search (PS), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). Compared to the existing algorithms, TSO has very less computational time to extract all the six parameters.

show abstract

“…Photovoltaic (PV) systems are ecologically benign, cost-effective, and simple to incorporate into traditional electricity grids [1]. To diminish power lopsidedness, sunlight-based chargers are not straightforwardly connected to the load [2].…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Novel Tabu Search Optimization Algorithm to Extract Parasitic Parameters of Solar Panel

Repalle¹,

Sarala

Mihet‐Popa

et al. 2022

Energies

View full text Add to dashboard Cite

The aging of PV cells reduces their electrical performance i.e., the parasitic parameters are introduced in the solar panel. The shunt resistance (RSh), series resistance (RS), photo current (IPh), diode current (Id), and diffusion constant (a1) are known as parasitic or extraction parameters. Cracks and hotspots reduce the performance of PV cells and result in poor V–I characteristics. Certain tests are carried out over a long period of time to determine the quality of solar cells; for example, 1000 h of testing is comparable to 20 years of operation. The extraction of solar parameters is important for PV modules. The Tabu Search Optimization (TSO) algorithm is a robust meta-heuristic algorithm that was employed in this study for the extraction of parasitic parameters. Particle Swarm Optimization (PSO) and a Genetic lgorithm (GA), as well as other well-known optimization methods, were used to test the proposed method’s correctness. The other approaches included the lightning search algorithm (LSA), gravitational search algorithm (GSA), and pattern search (PS). It can be concluded that the TSO approach extracts all six parameters in a reasonably short period of time. The work presented in this paper was developed and analyzed using a MATLAB-Simulink software environment.

show abstract

Design and Development of a Low-Cost Grid Connected Solar Inverter for Maximum Solar Power Utilization

Cited by 4 publications

References 16 publications

Analysis of Residual Error in Closed Loop Operation of Brushless DC (BLDC) Motor using Novel Neural Network Approach

Analysis of Residual Error in Closed Loop Operation of Brushless DC (BLDC) Motor using Novel Neural Network Approach

Analysis and Implementation of Robust Metaheuristic Algorithm to Extract Essential Parameters of Solar Cell

Implementation of a Novel Tabu Search Optimization Algorithm to Extract Parasitic Parameters of Solar Panel

Contact Info

Product

Resources

About