Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Reconfigurable and Embedded Systems (IJRES)
Koodalsamy, Banumalar
Unknown Affiliation
Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Enhanced performance of electric vehicle Vienna rectifier through soft computing and sliding mode control Koodalsamy, Banumalar; Narayanasamy, Vanaja; Srinivasan, Muralidharan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2180-2189

Abstract

The Vienna rectifier (VR) is a component that plays a pivotal role in various power electronics domains. It finds extensive utility in applications that require increased efficiency and minimized harmonic distortion. Some examples of these applications include solar photovoltaic grid-tied inverters, renewable energy systems, and electric motor variable speed drives. However, the ever-evolving system characteristics have spawned problems with the dependability and efficiency of such systems, making them less than ideal in both respects. This research proposes a ground-breaking method by using a three-phase VR model that is enhanced with a modified whale optimization algorithm (MWOA)-infused sliding mode controller (SMC), which is then, incorporated smoothly using the MATLAB/Simulink platform. The efficiency of the proposed system is shown by the construction of a working prototype, which also contributes to this demonstration. The suggested paradigm's enhanced performance is proven numerically and qualitatively via detailed comparisons with present systems.
Economical design of WAMS through soft computing: co-optimal PMU placement and communication infrastructure Koodalsamy, Banumalar; Narayanasamy, Vanaja; Srinivasan, Muralidharan
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 14, No 3: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v14.i3.pp649-658

Abstract

Recently, utilities have developed and deployed wide area measurement systems (WAMS) to improve the electricity grid's ability to monitor, manage, and defend itself. In a typical WAMS setup, multiple measuring devices, communication systems, and energy management systems work together to gather, transmit, and then analyze data. Although there is substantial interdependence among these three capabilities, most research treats them independently. The work presented here minimizes the total cost of the communication infrastructure (CI) by taking into account the price of phasor measurement units (PMUs) and the placement of a phasor data concentrator (PDC) at the same time. The optimum CI and PDC placement has been built with Steiner tree optimization's help. There have also been practical operating scenarios of more realistic working conditions containing pre-installed PMU, pre-installed fiber optic and N-1 contingency. The optimization hurdle has been overcome by utilizing the binary firefly algorithm (BFFA), which has undergone testing on IEEE 14, 30, and 118 bus systems to demonstrate its effectiveness. A comparison has been offered, and it clearly demonstrates the proposed approach's superiority over previously published articles.
Co-Authors Narayanasamy, Vanaja Srinivasan, Muralidharan