Sergio Rivera Profile : Scipedia

Documents published in Scipedia

Parallel computing for reducing time in security constrained optimal power flow analysis
D. Alvarez, D. Rodriguez, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2023). Vol. 39, (1), 4

Abstract
This paper presents a novel approach for solving the security-constrained optimal power flow (SCOPF) optimization problem using parallel Computing. In this approach, switched shunt banks, generation power ramp, and demand response are considered in the SCOPF by maximizing the market surplus during regular operation and for a set of contingencies of branches and generators. The optimization problem is solved using the Nonlinear Interior Point Method. The contingency assessment is paralleled in multiple CPU cores to decrease the computation time. Additionally, the test systems used in ARPA-GO competition were used and compared with the ARPA benchmark results to assess the proposed algorithm. The numerical results show this method is suitable for fast SCOPF using paralleling Computing.
Abstract
This paper presents a novel approach for solving the security-constrained optimal power flow (SCOPF) optimization problem using parallel Computing. In this approach, switched [...]
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Development of a video game for teaching in an electrical machine laboratory
J. Ramirez, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2022). Vol. 38, (2), 17

Abstract
Nowadays, the world has focused on digital media. There have been voices for and against virtual education. Gamification has been described as a strategy to transmit knowledge through the design and use of games. This article describes the first phase of the development of a game aimed at the transmission of knowledge related to engineers dedicated to the commercialization, diagnosis, and repair of induction motors; these are electrical machines widely used in industry. In this way, this paper shows the Electric Motor Store Simulator (hereinafter STME for its acronym in Spanish) is a free software project that aims to develop a game for users to have a closer idea about small businesses. It was developed as a minimum viable product under free software licensing, which allows anyone with the necessary knowledge to expand the functionality by adding or improving modules.
Abstract
Nowadays, the world has focused on digital media. There have been voices for and against virtual education. Gamification has been described as a strategy to transmit knowledge [...]
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Redirecting the design of an electrical engineering educational game to other disciplines
J. Ramirez, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2021). Vol. 37, (4), 41

Abstract
This document describes the process of developing a game that simulates the fundamental aspects of a commercial establishment in charge of marketing and performing maintenance on electric motors, aimed mainly at Electrical Engineering students. The process begins with the coding of a software capable of simulating daily machinery buying and selling events, then its design was refined, including other elements that enrich the user experience. With these elements, you can make add-ons that allow you to simulate and document events in such a way that they can be used outside of your initial target audience.
Abstract
This document describes the process of developing a game that simulates the fundamental aspects of a commercial establishment in charge of marketing and performing maintenance [...]
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Python notebook usefullness, case study: Optimization techniques course
L. Rodriguez, C. Pardo, J. Cepeda, J. Gomez, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2021). Vol. 37, (4), 42

Abstract
Online code sharing and documentation platforms have become an essential part of every analyst and data scientist’s lives. Google Colab and Jupyter Notebook are some of the well named platforms which are used quite extensively to work on datasets. These platforms allow the user to showcase and manipulate data along with the capabilities of adding beautiful visualizations and essential narrative texts. They offer high customization abilities for the users along with Collaboration and sharing capabilities. These notebooks also offer a variety of languages to choose from, like R, Python, PySpark etc. if the necessary packages are installed. Other platforms available for working on big data includes R Markdown, Kaggle, Spark Notebook and many other popular tools. With the recent developments in Data Science technologies and Machine learning, there has been an increased adoption for these platforms, which has eventually led to the addition of new features to these tools. JupyterLab is a web-based interactive development environment for Jupyter Notebook, codes as well as data. It has been designed to be flexible so as to incorporate any form of workflow into it pertaining to Data Science, Scientific Computing as well as Machine Learning & Artificial Intelligence. It also allows developers to write their own plugins and packages, which can then be easily incorporated into the workflows, i.e., seamless integration experience. Jupyter Notebook is a component of Lab which is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Some of the use cases include data cleaning and transformation, numerical simulation, statistical modeling, and data visualization. Google Colab or short for Colaboratory is a product developed by Google Research, which is a free to use platform and can be used to execute arbitrary Python codes through the browser. This tool is especially suited for machine learning, data analysis as well as educational purposes. Colab is a hosted Jupyter Notebook service which requires no setup and provides free access to computing power like GPUs on the cloud. This is ofcourse extended if the user pays for the pro version called Colab Pro.
Abstract
Online code sharing and documentation platforms have become an essential part of every analyst and data scientist’s lives. Google Colab and Jupyter Notebook are some [...]
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Implementing virtual laboratories: Remote teaching of electrical machines
J. Ramirez, S. Tellez, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2021). Vol. 37, (4), 43

Abstract
One of the fundamental requirements of engineering education is laboratory work and practical teaching. The main purpose of the laboratory is to provide a space for students to carry out practices that allow them to check the theory learned in the classroom, validate hypotheses, propose solutions and recommendations, develop critical thinking skills and develop soft skills. The provision of laboratory work to engineering students helps them familiarize themselves with similar situations as they will find real life as they practice their profession. Primarily, this laboratory work is based on actual hardware and a laboratory where the students can work at a specified time, perform experiments under the guidance of a lab technician and leave with data that they can analyze later using the knowledge they learned in class. These laboratories and the hardware equipment in them are expensive to acquire and maintain. Also, they are an expensive upgrade, yet upgrading is inevitable with the rapid change in technology we are all experiencing. Various institutions have been forced to use outdated laboratory hardware or do with minimal hardware for performing engineering experiments. However, the rapid increase in technology that is contributing to the problem can be used to solve it by having a suitable front-end design in computers that can be used to simulate experiments.
Abstract
One of the fundamental requirements of engineering education is laboratory work and practical teaching. The main purpose of the laboratory is to provide a space for students [...]
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Ensemble based optimization for electric demand forecast: Genetic programming and heuristic algorithms
J. Garcia, D. Alvarez, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2020). Vol. 36, (3), 36

Abstract
Power generation using renewable energy such as wind and solar energy depend on weather behavior. An accurate weather forecast improves the operation management of a Smart Grid. However, the environmental conditions vary with both time and space and, depending on the location have different classifications. The environmental conditions vary with time and depending on the country, also the changes between standard, local and summer time can result in days of 23 h, to obtain days of 24 h; the two adjacent hours are used to calculate the missing hour. In this paper is addressed a nonlinear symbolic regression (RS by its acronym in Spanish) model is used to make annual demand forecasts. This algorithm is assessment with real measurements creating models that conform to the load forecasting of 28 weather stations. The learning variables are loads of demand and temperatures; that are grouped by hours for a two-year time interval. The RS-DEEPSO algorithm is proposed to improve the forecast. This is used due to its evolutionary, self-adaptive qualities and the possibility of exploring new scenarios in search of optimum. The forecast obtained using the new hybrid RS-DEEPSO has an average error per day less than 3.9% and per hour is less than 5.62% during a period of 1 year.
Abstract
Power generation using renewable energy such as wind and solar energy depend on weather behavior. An accurate weather forecast improves the operation management of a Smart [...]
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Design and implementation of prototype for XLPE cable aging test
J. Acosta, F. Amortegui, A. Escobar, L. Leon, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2020). Vol. 36, (3), 35

Abstract
The current increase in the demand for electric power and the obligation to comply with the regulations associated with reliability and continuity in the supply, have prompted the manufacturers of electrical conductors to focus on designing their products with special care when considering the electrical properties of the materials. The use of XLPE insulated cables in underground transmission lines in 115 kV systems has increased in cities due to urban, environmental and reliability requirements. This is also related to the fact that air networks are exposed to external factors such as lightning, comets, vegetation, animals, etc., which can affect their functioning failures. The fact of using transmission technology with insulated cables gives rise to the need to evaluate the behavior of its components when operating in the long term. To achieve this, it is necessary to implement a procedure that allows analyzing the aging of these elements when operating in load cycles for a certain period of time. Thus, this document presents the development of a prototype that allows conducting the aging test to conductors isolated by XLPE.
Abstract
The current increase in the demand for electric power and the obligation to comply with the regulations associated with reliability and continuity in the supply, have prompted [...]
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Variability in uncertainty cost for micro-Wind Energy Generation (WEG)
L. Avellaneda, J. Monsalve, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2019). Vol. 35, (3), 39

Abstract
Faced with the problem of wind speed in generation and the difficulty that this entails in the economic future of electric power, mathematical formulations (functions), called uncertainty costs, have been developed. The term is used in a model composed of two parts, an implication of penalization costs for overestimation and the other due to the underestimation of a programmed power. Through analytical mathematics and Monte Carlo simulations, we have found the expected value of the costs of uncertainty, the stability of primary resources through the distribution of probability. However, the results can not be evaluated accurately from an analytical point of view, without taking into account the variability around the average value. In this article we calculate the analytical function of the variance, we understand as a measure of dispersion of the expected values of uncertainty costs for the specific case of wind operators; Likewise, this formulation has been validated through Monte Carlo simulations. The function found is used to observe the dispersion of the data around its expected average value, by applying the standard deviation.
Abstract
Faced with the problem of wind speed in generation and the difficulty that this entails in the economic future of electric power, mathematical formulations (functions), called [...]
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Mono-objective minimization of operation cost for a microgrid with renewable power generation, energy storage and electric vehicles
C. Baron, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2019). Vol. 35, (3), 34

Abstract
The term Microgrid refers to a power system in a small scale, made of active elements operating between them, namely renewable and traditional generation, energy storage and controllable charges. Previous studies have evaluated and modelled the operation cost of many elements that make up the Microgrid, in order to identify the correct point of operation. In this study, the researchers evaluated a model of Microgrid with diesel as traditional generator, a park of photovoltaic generation, two wind generators, one battery bank and two aggregators that manage electric vehicles. The objective of this research is to propose an equation capable of describing the operation cost of a Microgrid as a set, taking into account the modelling of the operation cost of photovoltaic energy, wind energy, and energy storage in battery banks and electric vehicles. This equation also seeks to obtain the best possible cost efficiency, i.e., decreasing the operation cost of the Microgrid. For this purpose, the Metauristic method DEEPSO (Differential Evolutionary Particle Swarm Optimization) was used, recognized for its performance for applications in power systems. Through this method, and determinate the conditions of operation of the different elements in the Microgrid. Taking into account all the parameters, the behavior of each one of the elements of the Microgrid in a 24-hour lapse was found and visualized.
Abstract
The term Microgrid refers to a power system in a small scale, made of active elements operating between them, namely renewable and traditional generation, energy storage and [...]
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Mathematical Formulation and Numerical Validation of Uncertainty Costs for Controllable Loads
S. Vargas, D. Rodriguez, S. Rivera

Rev. int. métodos numér. cálc. diseño ing. (2019). Vol. 35, (1), 16

Abstract
This document presents an analysis in the development of a new mathematical formulation with which it will be possible to determine, through probabilistic approaches, the cost that can be generated if a diversified electricity market existed, in which the demand is able to actively participate. For this, it is considered that the electrical demand in a moment of time has associated a probability distribution and a system that makes it controllable. The cost of uncertainty of demand is mathematically developed by calculating the expected cost of supplying the most convenient demand value for the power system. The validation of the analytical formula is done through the Monte Carlo method, which allows us to compare the penalty costs in the case of underestimating or overestimating the demand for electrical energy.
Abstract
This document presents an analysis in the development of a new mathematical formulation with which it will be possible to determine, through probabilistic approaches, the [...]
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Articles (Documents not available in Scipedia)

Uncertainty Cost Functions for Solar Photovoltaic Generation, Wind Energy Generation, and Plug-In Electric Vehicles: Mathematical Expected Value and Verification by Monte Carlo …
S Rivera, C Arevalo, F Santos

(in press) International Journal of Power and Energy Conversion 10 (2), 2019
2018 Grid Optimization Competition, Test bed B: Dynamic OPF in Presence of Renewable Energy and Electric Vehicles. Problem Definition and Implementation Guidelines
S Rivera, A Al-Sumaiti, C Cortes, J Rueda, K Lee, I Erlich

https://www.researchgate.net/publication …, 2018
2018 Grid Optimization Competition, Test bed A: Stochastic OPF in Presence of Renewable Energy and Controllable Loads Problem Definition and Implementation Guidelines
S Rivera, A Al-Sumaiti, D Rodriguez, M Gers, J Rueda, K Lee, I Erlich

https://www.researchgate.net/publication …, 2018
Análisis del mercado Spot con representación estocástica para generación eólica y fotovoltaica
J Alarcon, S Rivera, F Santamaria

REVISTA UIS INGENIERIAS 17 (1), 155-162, 2018
2017 competition on modern heuristic optimizers for smart grid operation: Testsbeds and results
F Lezama, J Soaresa, Z Valea, J Rueda, S Rivera, I Elrich

Swarm and Evolutionary Computation, 2018
Electric vehicles as frequency controllers on a microgrid
S Tirado, S Rivera

Journal de Ciencia e Ingeniería 10 (1), 6-17, 2018
Hybrid inference algorithm by combining genetic programming methods and nonlinear regression techniques
S Manrique, A Guzman, S Rivera

Far East Journal of Experimental and Theoretical Artificial Intelligence 7 …, 2018
Modelacion Cuadrática de Costos de Incertidumbre para Generación Renovable y su aplicación en el Despacho Económico
CA Martinez, SR Rivera

MATUA 5 (1), 2018
Presentation Winner Algorithm: VNS-DEEPSO Combination of Variable Neighborhood Search algorithm (VNS) and Differential Evolutionary Particle Swarm Optimization (DEEPSO)
S Rivera, P Garcia, J Cantor, A Guzman, C Cortes, J Gonzales, R Nunes, ...

http://www.gecad.isep.ipp.pt/WCCI2018-SG-COMPETITION/files …, 2018
Optimal energy dispatch in multiple periods of time considering the variability and uncertainty of generation from renewable sources/Despacho de energía óptimo en múltiples …
S Rivera, J Torres

Prospectiva 16 (2), 75-81, 2018
Robust Loss Coefficients: Application to Power Systems with Solar and Wind Energy
D Arango, R Urrego, S Rivera

International Journal of Power and Energy Conversion 9 (4), 351-383, 2018
Chapter 9-Microgrids in the United States
S Rivera, M Leon

Clean Energy Microgrids, 283, 2017
Chapter 8-Microgrids in Europe
S Rivera, T Valencia

Clean Energy Microgrids, 259, 2017
Chapter 10-Microgrids in developing countries
S Rivera, W Nustes, M Leon, J Rodrıguez

Clean Energy Microgrids, 313, 2017
Aplicación del ciclo de vida y el análisis estructurado en el desarrollo de un laboratorio virtual de transformadores monofásicos
JM Ramírez-Romero, SR Rivera-Rodríguez

Revista Educación en Ingeniería 12 (23), 43-48, 2017
Laboratorio virtual de transformadores monofásicos
J Ramirez, S Rivera

http://www.virtual.unal.edu.co/innovaciones/lvtm, 2017
Colombia: territorio de inversión en fuentes no convencionales de energía renovable para la generación eléctrica
WA Ñustes Cuellar, SR Rivera Rodríguez

REVISTA INGENIERÍA, INVESTIGACIÓN Y DESARROLLO 17 (1), 37-48, 2017
Modelado de cargas controlables en el despacho de sistemas con fuentes renovables y vehículos eléctricos
W Guzman, S Osorio, S Rivera

Ingeniería y Región 17, 49-60, 2017
Regulation frequency improvements using the inertia increase of networked microgrids
V Toro, S Rivera, E Mojica Nava

UIS INGENIERIAS 16 (2), 35-42, 2017
Regulación de frecuencia en sistemas de potencia que integran fuentes de energías eólicas mediante un controlador PI e imitación de inercial
N Gomez, S Rivera

Ingeniería Solidaria 23 (13), 16-43, 2017
Presentation: Modified Chaotic Biogeography-based Optimisation (CBBO) with Random Sinusoidal Migration
S Rivera, C Cortes, A Guzman, S Contreras

http://sites.ieee.org/psace-mho/files/2017/10/06-ModifiedCBBO_Camilo.pdf, 2017
Presentation: Test bed 1: Stochastic OPF based active-reactive power dispatch
S Rivera, A Romero, J Rueda, K Lee, I Erlich

http://sites.ieee.org/psace-mho/files/2017/10/02-TestBed1_Sergio.pdf, 2017
Reconfiguration of distribution systems to minimize losses using heuristic optimization: BPSO and DEEPSO methods
JL Acosta, AE Alarcón, S Rivera

Entre Ciencia e Ingeniería 11 (22), 110-117, 2017
Reconfiguración de sistemas de distribución para minimizar pérdidas utilizando optimización heurística: Métodos BPSO y DEEPSO
J Acosta, A Alarcon, S Rivera

Entre Ciencia e Ingeniería 11 (22), 110-117, 2017
Despacho económico en microredes con penetración de energía renovable usando algoritmo de punto interior y restricciones lineales
D Arango, R Urrego, SRR Rodríguez

Ingeniería y ciencia 12 (25), 123-152, 2017
Economic dispatch in microgrids with renewable energy using interior point algorithm and lineal constrainst
D Arango, R Urrego, S Rivera

Ingeniería y Ciencia 13 (25), 123-152, 2017
Smart charging of PEVs to reduce the power transformer loss of life
A Sanchez, A Romero, G Rattá, S Rivera

Innovative Smart Grid Technologies Conference-Latin America (ISGT Latin …, 2017
Potencial en el uso de la consulta de patentes para determinar el estado de la técnica. Análisis en microredes con energías renovables
T Valencia, S Rivera, N Sanchez

Revista Ingeniería Investigación y Desarrollo 17 (2), 16-22, 2017
Formulación de funciones de costo de incertidumbre en pequeñas centrales hidroeléctricas dentro de una microgrid
FSM Sanchez, SJP Sichacá, SRR Rodriguez

Ingenierías USBMed 8 (1), 29-36, 2017
Game-Theoretic Dispatch Control in Microgrids Considering Network Losses and Renewable DER Integration
E Mojica-Nava, S Rivera, N Quijano

IET Generation, Transmission & Distribution 11 (6), 1583 – 1590, 2017
Mejoras de la regulación de frecuencia utilizando el aumento de inercia de microrredes interconectadas
BVT Tovar, EM Nava, S Rivera

Revista UIS Ingenierías 16 (2), 35-42, 2017
Application of analytical uncertainty costs of solar, wind and electric vehicles in optimal power dispatch
J Arévalo, F Santos, S Rivera

Ingeniería 22 (3), 324-346, 2017
Uncertainty Cost Functions for Solar Photovoltaic Generation
J Arévalo, F Santos, S Rivera

Wind Energy Generation and Plug-In Electric Vehicles: Mathematical Expected …, 2017
Optimización heurística en el diseño de parques eólicos
J Cantor, SRR Rodríguez

Ingeniería y Región, 1-15, 2016
Distributed dispatch control in microgrids with network losses
E Mojica-Nava, S Rivera, N Quijano

Control Applications (CCA), 2016 IEEE Conference on, 285-290, 2016
Latin American Energy Markets: Investment Opportunities in Nonconventional Renewables
A Vargas, OR Saavedra, ME Samper, S Rivera, R Rodriguez

IEEE Power and Energy Magazine 14 (5), 38-47, 2016
Fast assessment of frequency response of cold load pickup in power system restoration
DR Medina, E Rappold, O Sanchez, X Luo, SRR Rodriguez, D Wu, ...

IEEE Transactions on Power Systems 31 (4), 3249-3256, 2016
A Multi-Agent System Coordination Approach for Resilient Self-Healing Operation in Multiple Microgrids
S Rivera, AM Farid, K Youcef-Toumi

Industrial Agents: Emerging Applications of Software Agents in Industry, 476, 2015
presentation: A Multi-Agent System Transient Stability Platform for Resilient Self-Healing Operation of Multiple Microgrids
S Rivera, A Farid, K Youcef-Toumi

http://www.ece.cmu.edu/~tanddconf_2004/2013/slides_2014/Youcef …, 2014
A multi-agent system transient stability platform for resilient self-healing operation of multiple microgrids
S Rivera, AM Farid, K Youcef-Toumi

Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES, 1-5, 2014
Coordination and Control of Multiple Microgrids Using Multi-Agent Systems
S Rivera, A Farid, K Youcef-Toumi

http://amfarid.scripts.mit.edu/resources/Conferences/SPG-C10.pdf, 2013
Estado del arte en la ubicación óptima de capacitores y estudio de optimización de la solución mediante búsqueda exhaustiva
S Rivera

Visión Electrónica: algo más que un estado sólido 1 (1), 71-80, 2011
Short-term investment decisions on distribution systems. A probabilistic methodology and comparison with a fuzzy methodology
S Rivera, A Vargas

Transmission and Distribution Conference and Exposition: Latin America, 2008 …, 2008
Fuzzy assessment of electricity generation costs applied to distributed generation. Comparison with retail electricity supply costs
M Samper, A Vargas, S Rivera

Proc. IEEE/PES 2008 T&D Latin America (Transmission and Distribution Conf …, 2008
Reliability assessment in power distribution networks by logical and matrix operations
D Midence, S Rivera, A Vargas

Transmission and Distribution Conference and Exposition: Latin America, 2008 …, 2008
Influence of different probability distributions of reliability parameters on short-term investment prioritization in distribution networks
D Midence, S Rivera, A Vargas

19th International Conference on Electricity Distribution 478, 1-6, 2007
Supply Quality Regulation-Its Influence over Short-Term Investment Decisions in Distribution Networks
D Midence, S Rivera, A Vargas

Power Tech, 2007 IEEE Lausanne, 1480-1485, 2007
Methodological basis to decide short-term investments in distribution systems under uncertainty in performance-based regulatory frameworks
S Rivera, A Vargas

International Journal of Global Energy Issues 28 (1), 88-110, 2007
Metodología para Decidir Inversiones de Corto Plazo en Sistemas de Distribución bajo Incertidumbre en Estructuras Regulatorias PBR
S Rivera, A Vargas

Congreso Internacional de Distribución Eléctrica, CIDEL 2006, 28-30 de …, 2006
Prioritizing short-term investments in distribution networks with uncertainty modeled by fuzzy numbers
S Rivera, A Vargas

Transmission & Distribution Conference and Exposition: Latin America, 2006 …, 2006
Estado del arte en la ubicación óptima de capacitores y estudio de optimalidad de la solución mediante búsqueda exhaustiva
S Rivera

Ingeniería e Investigación 24 (3), 67-72, 2004

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Documents published in Scipedia

Articles (Documents not available in Scipedia)

Uncertainty Cost Functions for Solar Photovoltaic Generation, Wind Energy Generation, and Plug-In Electric Vehicles: Mathematical Expected Value and Verification by Monte Carlo …

2018 Grid Optimization Competition, Test bed B: Dynamic OPF in Presence of Renewable Energy and Electric Vehicles. Problem Definition and Implementation Guidelines

2018 Grid Optimization Competition, Test bed A: Stochastic OPF in Presence of Renewable Energy and Controllable Loads Problem Definition and Implementation Guidelines

Análisis del mercado Spot con representación estocástica para generación eólica y fotovoltaica

2017 competition on modern heuristic optimizers for smart grid operation: Testsbeds and results

Electric vehicles as frequency controllers on a microgrid

Hybrid inference algorithm by combining genetic programming methods and nonlinear regression techniques

Modelacion Cuadrática de Costos de Incertidumbre para Generación Renovable y su aplicación en el Despacho Económico

Presentation Winner Algorithm: VNS-DEEPSO Combination of Variable Neighborhood Search algorithm (VNS) and Differential Evolutionary Particle Swarm Optimization (DEEPSO)

Optimal energy dispatch in multiple periods of time considering the variability and uncertainty of generation from renewable sources/Despacho de energía óptimo en múltiples …

Robust Loss Coefficients: Application to Power Systems with Solar and Wind Energy

Chapter 9-Microgrids in the United States

Chapter 8-Microgrids in Europe

Chapter 10-Microgrids in developing countries

Aplicación del ciclo de vida y el análisis estructurado en el desarrollo de un laboratorio virtual de transformadores monofásicos

Laboratorio virtual de transformadores monofásicos

Colombia: territorio de inversión en fuentes no convencionales de energía renovable para la generación eléctrica

Modelado de cargas controlables en el despacho de sistemas con fuentes renovables y vehículos eléctricos

Regulation frequency improvements using the inertia increase of networked microgrids

Regulación de frecuencia en sistemas de potencia que integran fuentes de energías eólicas mediante un controlador PI e imitación de inercial

Presentation: Modified Chaotic Biogeography-based Optimisation (CBBO) with Random Sinusoidal Migration

Presentation: Test bed 1: Stochastic OPF based active-reactive power dispatch

Reconfiguration of distribution systems to minimize losses using heuristic optimization: BPSO and DEEPSO methods

Reconfiguración de sistemas de distribución para minimizar pérdidas utilizando optimización heurística: Métodos BPSO y DEEPSO

Despacho económico en microredes con penetración de energía renovable usando algoritmo de punto interior y restricciones lineales

Economic dispatch in microgrids with renewable energy using interior point algorithm and lineal constrainst

Smart charging of PEVs to reduce the power transformer loss of life

Potencial en el uso de la consulta de patentes para determinar el estado de la técnica. Análisis en microredes con energías renovables

Formulación de funciones de costo de incertidumbre en pequeñas centrales hidroeléctricas dentro de una microgrid

Game-Theoretic Dispatch Control in Microgrids Considering Network Losses and Renewable DER Integration

Mejoras de la regulación de frecuencia utilizando el aumento de inercia de microrredes interconectadas

Application of analytical uncertainty costs of solar, wind and electric vehicles in optimal power dispatch

Uncertainty Cost Functions for Solar Photovoltaic Generation

Optimización heurística en el diseño de parques eólicos

Distributed dispatch control in microgrids with network losses

Latin American Energy Markets: Investment Opportunities in Nonconventional Renewables

Fast assessment of frequency response of cold load pickup in power system restoration

A Multi-Agent System Coordination Approach for Resilient Self-Healing Operation in Multiple Microgrids

presentation: A Multi-Agent System Transient Stability Platform for Resilient Self-Healing Operation of Multiple Microgrids

A multi-agent system transient stability platform for resilient self-healing operation of multiple microgrids

Coordination and Control of Multiple Microgrids Using Multi-Agent Systems

Estado del arte en la ubicación óptima de capacitores y estudio de optimización de la solución mediante búsqueda exhaustiva

Short-term investment decisions on distribution systems. A probabilistic methodology and comparison with a fuzzy methodology

Fuzzy assessment of electricity generation costs applied to distributed generation. Comparison with retail electricity supply costs

Reliability assessment in power distribution networks by logical and matrix operations

Influence of different probability distributions of reliability parameters on short-term investment prioritization in distribution networks

Supply Quality Regulation-Its Influence over Short-Term Investment Decisions in Distribution Networks

Methodological basis to decide short-term investments in distribution systems under uncertainty in performance-based regulatory frameworks

Metodología para Decidir Inversiones de Corto Plazo en Sistemas de Distribución bajo Incertidumbre en Estructuras Regulatorias PBR

Prioritizing short-term investments in distribution networks with uncertainty modeled by fuzzy numbers

Estado del arte en la ubicación óptima de capacitores y estudio de optimalidad de la solución mediante búsqueda exhaustiva

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