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The Next Generation of Distribution Networks Analysis Tools (Ngen-DNAT)

Nowadays, distribution power systems are evolving into automated and autonomous interconnected organisms that incorporate intelligent electronic devices, smart inverters and distributed energy resources among other emerging technologies; requiring the design and planning of distribution management systems to coordinate these devices interacting for the benefit of the power grid and the customers. Advanced Analysis is a key process for maintaining and advancing electrical power systems facing the future challenges proposed by the market, technological advances and customer’s habits among other factors when incorporating the emerging technologies in the model of the distribution network.

This course aims for introducing the attendees to the next generation of distribution advanced analysis tools and the techniques behind them supported by EPRI’s open source simulation tools based in OpenDSS. In this course, critical topics for modern distribution analysis such as Quasi-Static-Time-Series Simulations and parallel processing techniques are addressed, these techniques represent a major advance in understanding the future distribution network behavior.

This course is intended for students and professionals of the areas of distribution systems, smart grids and renewable energies. As well for professionals of distribution network companies and consultants.  

Introductory Video:

Main Instructor:

Davis Montenegro-Martinez serves as Engineer/Scientist III at the Electric Power Research Institute (EPRI) in the areas of power system modeling, analysis and high-performance computing. He received his degree in electronic engineering from Universidad Santo Tomás, Bogotá, Colombia (2004); he is M.Sc. in electrical engineering from Universidad de Los Andes, Bogotá, Colombia (2012). He received his Ph.D. in electrical engineering from Universidad de Los Andes (2015), and a Ph.D. in electrical engineering from the University Grenoble-Alpes, France (2015). His expertise in parallel computing techniques is being used at EPRI for incorporating multi-core processing to power system analysis methods such as QSTS, reducing the computational time required to perform these analyses using standard computing architectures.

 

Davis Montenegro Martinez | Uniandes

Davis Montenegro Martinez

Dates:

4th to 7th Jun 2019

Content:

Day Summary
4-Jun.Introduction to the course program, the needs and goals that motivate the development of new tools for analyzing distribution power systems. The tools to be used during the course will also be introduced during this day, proposing exercises and study cases to facilitate their use during the next three days.
5-JunThis day we will be introduced to quasi-static-time-series (QSTS) simulations, their effects on distribution system analysis and the output provided. The aim is to validate the model features in terms of control devices across the power system, their setup and coordination for time-based analysis. Also, we will be introduced to parallel processing, the architecture of multicore computers and how to handle the complexity introduced by them using adequate frameworks and simulation methods.
6-JunThis day we will introduce Distributed Energy Resources (DER) as an alternative for mitigating undesired events in distribution power systems. The aim during this session is to visualize how DER can be used to relieve the power system during peaks of demand or stress situations using QSTS simulations and their data output.
7-JunThis day we will be focused on co-simulation techniques, the aim is to introduce the audience to real-time and fast simulations for covering different simulation needs. During this session the audience will be able to put into practice all the knowledge acquired during the previous sessions through multiple study cases and exercises proposed.

Prices for external public: 

$2'790.000

Registration here

Para estudiantes Uniandinos:

Los estudiantes de pregrado en IELE: pueden tomar este curso IELE como curso electivo en ingeniería (nivel 3 o 4). Estudiantes de otros departamentos por favor verificar con sus respectivos coordinadores de programa. Estos cursos tienen tarifa especial (igual que un curso de vacaciones de 3 créditos) y deben inscribirse en las mismas fechas que los cursos de vacaciones y seguir el proceso de matrícula habitual.

Los cursos de la Escuela de Verano de Ingeniería son cursos de nivel de maestría (4 créditos académicos), válidos como materias para las respectivas áreas.

Importante: Los cursos de la Escuela de Verano pueden tomarse en la modalidad de Educación Continuada. Esta modalidad únicamente otorga certificado de asistencia y no da lugar a reconocimiento de créditos.