scholarly journals How to develop a training method directed towards real-time operators: key steps and main tools to the Brazilian Power System

2019 ◽  
Vol 8 (1) ◽  
pp. 31
Author(s):  
Luciano Vignochi ◽  
Álvaro Guillermo Rojas Lezana ◽  
Claudio Magalhães De Oliveira ◽  
Ana Maria Moreno Romero
Keyword(s):  
Power System ◽  
Real Time ◽  
Training Programs ◽  
Main Tool ◽  
Problem Analysis ◽  
Training Method ◽  
Security Threat ◽  
Context Analysis ◽  
Key Steps ◽  
Time Operators

The real-time operators act on phenomena characterized by uncertainty, incomplete information, time pressure, unexpected events, and security threat.  Emergency and urgent situations demand rapid and effective decisions. This is the case of hospital emergencies, fire brigades, air traffic control, nuclear plants control, and power system operation.   It requires the development of behavioral skills in training programs. This paper aims to describe how to develop a method to training programs for real-time operators.  Steps and the tools to develop a training method were presented. Experts of the Brazilian Power System Operator Company evaluated the method.  Results point to a method focused on power system operators with six key steps namely, Problem Analysis, Context Analysis, Identify Training Needs, Choose Training Techniques, Training Program Structure, and Evaluation. The simulation was the main tool, followed by a behavioral observatory based on roleplay. Test and apply the method to other types of real-time operations is needed to improve the proposed method.

A METHOD FOR REAL-TIME OPERATORS TRAINING PROGRAMS FOCUSED ON BEHAVIORAL COMPETENCIES

2018 ◽  
Author(s):  
Luciano Vignochi ◽  
Álvaro Lezana ◽  
Claudio Magalhães de Oliveira ◽  
Ana Moreno Romero ◽  
Patrícia Paines
Keyword(s):  
Real Time ◽  
Training Programs ◽  
Time Operators ◽  
Behavioral Competencies

Near Real Time Load Forecasting in Power System

2020 ◽  
Author(s):  
Devesh Shukla ◽  
Siddhi Jaiswal ◽  
Vijay P. Babu ◽  
S.P. Singh
Keyword(s):  
Power System ◽  
Real Time ◽  
Load Forecasting

scholarly journals Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2471
Author(s):  
Tommaso Bradde ◽  
Samuel Chevalier ◽  
Marco De Stefano ◽  
Stefano Grivet-Talocia ◽  
Luca Daniel
Keyword(s):  
Dynamical Systems ◽  
Power System ◽  
System Dynamics ◽  
Real Time ◽  
Initial Conditions ◽  
Test System ◽  
Initial State ◽  
Power System Dynamics ◽  
Vector Fitting ◽  
Time Modeling

This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input multi-output (MIMO) dynamical systems via rational transfer function matrices. Based on a generalization of the well-known Time-Domain Vector Fitting (TDVF) algorithm, RTVF is suitable for online modeling of dynamical systems which experience both initial-state decay contributions in the measured output signals and concurrently active input signals. These adaptations were specifically contrived to meet the needs currently present in the electrical power systems community, where real-time modeling of low frequency power system dynamics is becoming an increasingly coveted tool by power system operators. After introducing and validating the RTVF scheme on synthetic test cases, this paper presents a series of numerical tests on high-order closed-loop generator systems in the IEEE 39-bus test system.

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