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In this paper it is proposed a methodology for simulating the behavior of electrical distribution networks, with the presence of intermittent sources of energy, based on a computational environment integrating power system static and dynamic simulation. The methodology represents an improvement over the simple implementation of power flow cases for different points of time series representing the...
This paper presents the application of an economic model of the electricity market, representing economic flows the concessionaire and the consumer, which allows quantifying the key variables (consumption, price, income and quality) and establish a connection between the innovations made possible by the intelligent network environment (smart grids) on one hand, and parameters of social efficiency...
This paper reports the implementation of an management system for underground substations in the Brazilian utility Companhia Energetica de Brasilia (CEB), in a partnership with the Electrotechnical and Energy Institute (IEE) of the University of S??o Paulo (USP), resulting in a pilot project of 12 substations being remotely monitored and controlled. The system allows for management of the load and...
This work deal with multi-functional use of electronic power converters as interface between utility grid and local power sources. The Conservative Power Theory is used to simultaneously injecting power into the grid and performing selective disturbance compensation.
This work proposes the use of a metaheuristic method for coordination of directional overcurrent relays in power systems. The proposed metaheuristic is the Discrete Particle Swarm Optimization. The coordination problem is modeled as a mixed integer nonlinear problem due to the available discrete settings in the relays. Owing to the difficulties in solving the model that can also result in the combinatorial...
This project aimed to create a new communication system with high permeability, expandability reliability and which scope was appropriate to the environment of the distribution networks, enabling the implementation of monitoration, measurement and control of the devices on electricity distribution networks. The project was completed with field installation of a wireless mesh network fully functional,...
This paper presents a methodology and software for simulating alternatives and works to amend voltage levels provided to affected low voltage customers. The methodology describes a type of state estimation of a low voltage network, using voltage measurements of a single load point. From a set of possible alternatives to amend voltage levels, the main is to install the Portable Voltage Regulator for...
This article focuses on the developing of a Portable Voltage Regulator for Low Voltage Networks (PVRL VN), for single phase, two phases and three phases networks, which envisages meeting the regulations, given that the time established by the regulatory standards is a factor that limits the planning and the execution of corrective actions. The first PVRLVN was developed inside a Research & Development...
This paper presents a study of the impact of Distributed Generation (DG) in the planning and design of Low Voltage (LV) distribution networks. The proposed model considers the planning of LV networks with the aims of reducing power losses, acceptable voltage levels and maximizing power supply of distributed generation units using Genetic Algorithm (GA). Planning LV distribution networks involves radial...
This paper applies Artificial Neural Network to predict the amount of energy generated by a Grid Connected Photovoltaic System installed at the Institute of Electrotechnic and Energy of University of S??o Paulo (IEE/USP). Irradiance, back cell temperature and power data were collected during the period of one year. This methodology allows performing an analysis of the production of Grid Connected...
Smart Grids requires a complex infrastructure. It is associated with the advanced metering system which is responsible for data acquisition and processing. Taking into account this new paradigm, this paper proposes the application of Artificial Neural Networks for classification of nonlinear loads that are connected to the electrical system by using signals processed for each sample. For this purpose,...
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