Fault Diagnosis of a High Voltage Transmission Line Using Waveform Matching Approach

 Ripunjoy Phukan1, Rishab K Gupta2, Sandeep Dadga1 and Ananthanaryan Rathinam1, 1SRM University, India and 2UT Dallas, USA

ABSTRACT

This paper is based on the problem of accurate fault diagnosis by incorporating a waveform matching technique. Fault isolation and detection of a double circuit high voltage power transmission line is of immense importance from point of view of Energy Management services. Power System Fault types namely single line to ground faults, line to line faults, double line to ground faults etc. are responsible for transients in current and voltage waveforms in Power Systems. Waveform matching deals with the approximate superimposition of such waveforms in discretized versions obtained from recording devices and Software respectively. The analogy derived from these waveforms is obtained as an error function of voltage and current, from the considered metering devices. This assists in modelling the fault identification as an optimization problem of minimizing the error between these sets of waveforms. In other words, it utilizes the benefit of software discrepancies between these two waveforms. Analysis has been done using the Bare Bones Particle Swarm Optimizer on an IEEE 2 bus, 6 bus and 14 bus system. The performance of the algorithm has been compared with an analogous meta-heuristic algorithm called BAT optimization on a 2 bus level. The primary focus of this paper is to demonstrate the efficiency of such methods and state the common peculiarities in measurements, and the possible remedies for such distortions.

KEYWORDS

ATP, BBPSO, BAT, COMTRADE, Waveform Matching

Original Source URL: https://airccse.org/journal/ijsc/papers/4413ijsc03.pdf

https://airccse.org/journal/ijsc/current2013.html

A New Design Reuse Approach for Voip Implementation into Fpsocs and ASICS

Nouma Izeboudjen, Dalila Lazib, Mohammed Bakiri, Feroudja Abid, Sabrina Titri, Fatiha Louiz, Development Centre of Advanced Technologies (CDTA), Algeria

ABSTRACT

The aim of this paper is to present a new design reuse approach for automatic generation of Voice over Internet protocol (VOIP) hardware description and implementation into FPSOCs and ASICs. Our motivation behind this work is justified by the following arguments: first, VOIP based System on chip (SOC) implementation is an emerging research and development area, where innovative applications can be implemented. Second, these systems are very complex and due to time to market pressure, there is a need to built platforms that help the designer to explore with different architectural possibilities and choose the circuit that best correspond to the specifications. Third, we aim to develop in hardware, design, methods and tools that are used in software like the MATLAB tool for VOIP implementation. To achieve our goal, the proposed design approach is based on a modular design of the VOIP architecture. The originality of our approach is the application of the design for reuse (DFR) and the design with reuse (DWR) concepts. To validate the approach, a case study of a SOC based on the OR1K processor is studied. We demonstrate that the proposed SoC architecture is reconfigurable, scalable and the final RTL code can be reused for any FPSOC or ASIC technology. As an example, Performances measures, in the VIRTEX-5 FPGA device family, and ASIC 65nm technology are shown through this paper.

KEYWORDS

Voice over IP, Systems on Chip, FPGA, FPSOC, ASIC, Design reuse

Original Source URL: https://airccse.org/journal/ijsc/papers/4413ijsc02.pdf

https://airccse.org/journal/ijsc/current2013.html

International Journal on Soft Computing ( IJSC )

ISSN: 2229 - 6735 [Online] ; 2229 - 7103 [Print]

https://airccse.org/journal/ijsc/ijsc.html

Contact Us 

Here's where you can reach us : ijscjournal@yahoo.com or ijsc@aircconline.com

Submission Deadline : March 26, 2022

Submission System: http://coneco2009.com/submissions/imagination/home.html

International Journal on Soft Computing ( IJSC )

ISSN: 2229 - 6735 [Online] ; 2229 - 7103 [Print]

https://airccse.org/journal/ijsc/ijsc.html

Contact Us 

Here's where you can reach us : ijscjournal@yahoo.com or ijsc@aircconline.com

Submission Deadline: March 12, 2022

Submission System: http://coneco2009.com/submissions/imagination/home.html

Google scholar: https://scholar.google.co.in/citations?user=4BpotHUAAAAJ&hl=en

International Journal on Soft Computing (IJSC)

 

ISSN: 2229 - 6735 [Online]; 2229 - 7103 [Print]

https://airccse.org/journal/ijsc/ijsc.html

 

Scope & Topics

Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field

Topics considered include but are not limited to:

 

●        Fuzzy Systems ●        Neural Networks ●        Machine learning ●        Probabilistic Reasoning ●        Evolutionary Computing ●        Pattern recognition ●        Hybrid intelligent systems, ●        Software agents ●        Morphic Computing ●        Image processing, ●        E-commerce, e-medicine

●        Rough Sets ●        Symbolic machine learning, ●        Wavelet ●        Signal or Image Processing ●        Vision Recognition ●        Biomedical Engineering ●        Telecommunications ●        Reactive Distributed AI ●        Nano & Micro-systems ●        Data Visualization

Paper Submission

Authors are invited to submit papers for this journal through E-mail: ijsc@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

 

·         Submission Deadline : March 12, 2022

·         Notification                  : April 12, 2022

·         Final Manuscript Due  : April 20, 2022

·         Publication Date          : Determined by the Editor-in-Chief

Contact Us

Here's where you can reach us: ijscjournal@yahoo.com or ijsc@aircconline.com Submission System 

http://coneco2009.com/submissions/imagination/home.html

Google scholar link: https://scholar.google.co.in/citations?user=4BpotHUAAAAJ&hl=en

Solving the Associated Weakness of Biogeography-Based Optimization Algorithm

Ali R. Alroomi1, Fadhel A. Albasri2 and Jawad H. Talaq3

1Electrical Engineer, University of Bahrain, Sakhir, Bahrain, 2,3Department of Electrical Engineering, University of Bahrain, Sakhir, Bahrain

ABSTRACT

Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based on an old theory of island biogeography that explains the geographical distribution of biological organisms. BBO was introduced in 2008 and then a lot of modifications and hybridizations were employed to enhance its performance. The researchers found that the original version of BBO has some weakness on its exploration. This paper tries to solve the root problems itself instead of solving its effect by using different techniques. It proposes two modifications; firstly, modifying the probabilistic selection process of the migration and mutation stages to give a fairly randomized selection for all the features of the islands. Secondly, the clear duplication process, which is located after the mutation stage, is sized to avoid any corruption on the suitability index variables of the non-mutated islands. The proposed modifications are extensively tested on 120 test functions with different dimensions and complexities. The results proved that the BBO performance can be enhanced effectively without embedding any additional sub-algorithm, and without using any complicated form of the immigration and emigration rates. In addition, the new BBO algorithm requires less CPU time and becomes even faster than the original simplified partial migration-based BBO. These essential modifications have to be considered as an initial step for any other modifications.

KEYWORDS

Biogeography-Based Optimization, BBO, Evolutionary Algorithm, Migration, Partial Migration

Original Source URL: https://airccse.org/journal/ijsc/papers/4413ijsc01.pdf

https://airccse.org/journal/ijsc/current2013.html