Roshini Mangalparthi

A highly motivated Electrical Engineer with 4.3 years of experience in high-voltage asset management, energy efficiency, and renewable energy systems. Skilled in designing, implementing, and quoting sensor-based monitoring solutions for high-voltage electrical assets. Proficient in energy system analysis, protection setting calculations, and leveraging advanced diagnostic techniques. Passionate about advancing sustainable energy solutions and enhancing power system reliability. Strong communicator, with a proven track record in collaborating with cross-functional teams and delivering results in fast-paced environments. Energetic employee well-versed in strong communication and organization skills. Seeks solutions to problems and applies extensive analytical knowledge to findings. Adept at multi-tasking, leading group discussions and managing projects.

1.Electrical Power Dissipation on Ceramic Insulators under Pollution Conditions,

National Institute of Technology, Calicut, 07/01/22 to 06/30/23,

Utilized COMSOL (SolidWorks) software to analyse 11kV ceramic insulators under varying pollution stages, calculating critical parameters like electromagnetic field, power dissipation, and electric potential. Conducted extensive high-voltage laboratory testing, in alignment with IEC and IEEE standards, to validate the breakdown voltage and optimize insulator performance under real-world conditions. These analyses were pivotal in proposing solutions to extend the lifespan of high-voltage insulators, enhancing power transmission reliability. Additionally, the insights gained were integral in optimizing lightning control and contributing to the development of low-carbon, efficient power distribution strategies, ensuring sustainable and reliable energy delivery.

2.On-Site Oscillating Lightning Impulse Test for Power Transformers.

NIT Calicut & Industry Collaboration, 09/01/21 to 06/30/22

Used MATLAB/Simulink to generate oscillating impulse waveforms on-site, combined with current impulse and UHF detection methods, to identify partial discharge in power transformers. These advanced diagnostic techniques enhance transformer reliability by detecting insulation degradation and potential failure points. The cost-effective on-site approach improves energy efficiency, troubleshoots partial discharge issues, and reduces energy losses in voltage distribution.