scholarly journals An Effective Detection of Inrush and Internal Faults in Power Transformers Using Bacterial Foraging Optimization Technique

2016 ◽  
Vol 07 (08) ◽  
pp. 1569-1580 ◽  
Author(s):  
M. Gopila ◽  
I. Gnanambal
Keyword(s):  
Optimization Technique ◽  
Power Transformers ◽  
Bacterial Foraging Optimization ◽  
Bacterial Foraging ◽  
Internal Faults

scholarly journals Real-Time Implementation of the Predictive-Based Control with Bacterial Foraging Optimization Technique for Power Management in Standalone Microgrid Application

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1723
Author(s):  
Félix Dubuisson ◽  
Miloud Rezkallah ◽  
Hussein Ibrahim ◽  
Ambrish Chandra
Keyword(s):  
Real Time ◽  
Power Management ◽  
Renewable Energy Sources ◽  
Optimization Technique ◽  
Euler Method ◽  
Small Scale ◽  
Diesel Generator ◽  
Bacterial Foraging Optimization ◽  
Time Model ◽  
Bacterial Foraging

In this paper, the predictive-based control with bacterial foraging optimization technique for power management in a standalone microgrid is studied and implemented. The heuristic optimization method based on the social foraging behavior of Escherichia coli bacteria is employed to determine the power references from the non-renewable energy sources and loads of the proposed configuration, which consists of a fixed speed diesel generator and battery storage system (BES). The two-stage configuration is controlled to maintain the DC-link voltage constant, regulate the AC voltage and frequency, and improve the power quality, simultaneously. For these tasks, on the AC side, the obtained power references are used as input signals to the predictive-based control. With the help of the system parameters, the predictive-based control computes all possible states of the system on the next sampling time and compares them with the estimated power references obtained using the bacterial foraging optimization (BFO) technique to get the inverter current reference. For the DC side, the same concept based on the predictive approach is employed to control the DC-DC buck-boost converter by regulating the DC-link voltage using the forward Euler method to generate the discrete-time model to predict in real-time the BES current. The proposed control strategies are evaluated using simulation results obtained with Matlab/Simulink in presence of different types of loads, as well as experimental results obtained with a small-scale microgrid.

scholarly journals A Nature Based Computing Technique for Image Watermarking using Bacterial Foraging Optimization, Wavelet and Cosine Transform

2020 ◽  
Vol 9 (4) ◽  
pp. 734-739
Keyword(s):  
Signal To Noise Ratio ◽  
Image Watermarking ◽  
Optimization Technique ◽  
Maximum Energy ◽  
Optimization Techniques ◽  
Bacterial Foraging Optimization ◽  
Computing Technique ◽  
Cosine Transform ◽  
Bacterial Foraging ◽  
Content Description

The Watermarking technique is used for the purpose of broadcast monitoring, copyright protection, integrity verification and authentication. Its application extends in fingerprinting and content description. In literature several methods like DWT, DCT are presented and embedded which occupies maximum energy. The watermarking techniques use lossy data compression due to strong energy compaction. The new methods and optimization techniques are required. The paper presents a new design and implemented by nature based computing. The proposed method combines the advantage of the wavelet transform and cosine transform. The proposed Bacterial Foraging Optimization technique hybrid with DWT and DCT increase the performance of watermarking of digital images. The high-frequency area of the image is used in this methodology. The method is comparable for Genetic Algorithms (GAs). Selected type of image of PSNR & NCC is processed in MATLAB. The effective results are compared with DWT-DCT algorithm, DWT and multiple images. NCC (normalized cross correlation), PSNR (Peak signal to noise ratio) value and IF (image fidelity) for different techniques are compared. The DWTDCT-BFO based watermarking performance is found best.

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