Model for failure analysis for overhead lines with distributed parameters associated to atmospheric discharges

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Many overhead lines with double circuit are located in the highlands of Peru. The failure analysis
caused by lightning in the Andean mountains is difficult to solve. A new electrical model for
engineering failure analysis is proposed using distributed parameters, transitory analysis, combinatorial
model and grounding system equivalent, besides an electrical equivalent for transmission
line arrester for overhead lines and their constraints.


Model for failure analysis for overhead lines with distributed
parameters associated to atmospheric discharges



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  Speakers

Ricardo Arias
Ricardo Arias of IEEE PES PERU

Topic:

Model for failure analysis for overhead lines with distributed parameters associated to atmospheric discharges

Many overhead lines with double circuit are located in the highlands of Peru. The failure analysis
caused by lightning in the Andean mountains is difficult to solve. A new electrical model for
engineering failure analysis is proposed using distributed parameters, transitory analysis, combinatorial
model and grounding system equivalent, besides an electrical equivalent for transmission
line arrester for overhead lines and their constraints. The number of lightning discharges captured by the power transmission line and
guard cables have an interesting behavior, in this analysis, a new expression of probability
density function is proposed and a methodology for this installation. Finally the distribution of
the currents and the shielding are required to improve the performance of grounding system and
insulation, this model allows to avoid loss of function, transmission of electrical energy.

Biography:

Ricardo Arias Velásquez is a Peruvian-Spanish-American scholar known for his contributions to Renewable energy solutions, artificial intelligence in energy design & engineering failure analysis. He holds a PhD in Engineering from the Pontificia Universidad Católica del Perú, Master Science degree in Engineering and three Bachelor degrees in Electrical engineering, Project engineering & Computer Science by Universidad Nacional de San Agustín.

Arias currently holds a Vice Chairman at the Power & Energy Society at IEEE Perú. He was researcher at the Universidad Nacional de San Agustín and a Postdoctoral researcher  of Massachusetts Institute of Technology & Universidad de Tecnología e Ingeniería – UTEC’s School of Engineering. Between 2016 and 2020 Arias led MIT’s Collective Researching group as an leader and Professor at UTEC. Prior to joining UTEC-MIT, Arias was a research fellow at UNSA, UAP, UPA, UTEC & MIT. Arias is also a founder of Advanced Smart Solutions, a company dedicated to artificial intelligence specialized in the creation of data visualization, knowledge management, sharing value, IA and machine learning applications

Work experience (+ 15 years): Currently, He is accountable of the operational efficiency in the biggest renewable power plants (BESS, Solar, Wind & Hydro) and innovation projects in Enel. Before, He has been Project Manager in Engie and ISA, project engineer in Engie, coordinator in REP, operation head in ElectroSur, mining supervisor in Freeport-McMoRan and Yura. He has extensive experience in EPCM energy and mining projects from CAPEX, pre-feasibility, execution, commissioning, operation & maintenance. Summary, He has built more than 20 substations in industry and mining, 4500 km of transmission lines and power plants in 3 countries: USA, Peru and Chile.

Arias’s contributions have been recognized with numerous awards, including the 2020 1st award in Digital HackatonENEL, drone award – ENEL and multiple Innovation award in (SNMPE) 2017, 2015; transmission projects in ISA (Colombia) 2015, REP in 2013, 2014, 2016 (Perú) and Uruguay – CIER in 2014. Arias‘s is also the author of several papers associated to: Engineering, decision science, energy, material science, mathematics, physics and environmental science.

Address:Lima, Lima, Peru





Agenda

Viernes 25 de septiembre de 2020 10:40h @ 11:40h.



MIT - RESEARCH ARTICLE