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Autonomous and intelligent distributed energy systems

Grant number: 12/14014-0
Support type:Scholarships abroad - Research
Effective date (Start): February 01, 2013
Effective date (End): January 31, 2014
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Fernando Pinhabel Marafão
Grantee:Fernando Pinhabel Marafão
Host: Marcelo Godoy Simões
Home Institution: Universidade Estadual Paulista (UNESP). Campus Experimental de Sorocaba. Sorocaba , SP, Brazil
Research place: Colorado School of Mines, United States  


Aiming to the autonomous and intelligent operation of different grid-tied equipment, this project proposes the study of monitoring and controlling techniques applied to distributed generation systems, as well as to other grid-tied power electronic converters, such as electronic power compensators. The main focus is directed to the micro grids, configuring the so-called smart micro grids scenario.A micro grid considers the existence of a low-power distributed energy system connected to the main grid by means of an automatic electronic system. Such system is constituted by switching power converters, protection and measuring devices, data processing devices, which are responsible for: making possible the power feeding of AC loads; taking decisions based on the energy demand data; monitoring and controlling the power quality at the point of common coupling; detecting adverse conditions, etc.Initially in this project, the voltage and currents will be monitored and controlled by means of the Conservative Power Theory (CPT), a recent approach proposed to the analysis and control of electrical circuits under generalized operational conditions. The main goal is to evaluate the viability of using the CPT current and power components in order to manage the micro grid information and to control the distributed generation and power conditioning systems.Besides, considering the variability of the power flow in a micro grid (based on load or source intermittence) it will be evaluated or proposed a dynamic grid mapping approach, which should be able to identify load and line parameters in real time. Such approach should provide equivalent load and source circuits with respective impedances and other Thèvenin and Norton equivalent parameters. These information will be used in the electronic converter's control or also, in order to propose novel approaches for revenue metering and accountability in micro grids.Thus, the main goal of this project is to evaluate and propose possible intelligent techniques for controlling and monitoring distributed energy systems. Such techniques might allow autonomous operation of grid-tied devices in the smart micro grids. (AU)

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BRANDAO, DANILO I.; CALDOGNETTO, TOMMASO; MARAFAO, FERNANDO P.; SIMOES, MARCELO G.; POMILIO, JOSE A.; TENTI, PAOLO. Centralized Control of Distributed Single-Phase Inverters Arbitrarily Connected to Three-Phase Four-Wire Microgrids. IEEE TRANSACTIONS ON SMART GRID, v. 8, n. 1, p. 437-446, JAN 2017. Web of Science Citations: 17.
BRANDAO, DANILO IGLESIAS; PAREDES, HELMO KELIS MORALES; COSTABEBER, ALESSANDRO; MARAFAO, FERNANDO PINHABEL. Flexible active compensation based on load conformity factors applied to non-sinusoidal and asymmetrical voltage conditions. IET POWER ELECTRONICS, v. 9, n. 2, SI, p. 356-364, FEB 10 2016. Web of Science Citations: 11.
LIBERADO, EDUARDO VERRI; MARAFAO, FERNANDO PINHABEL; SIMOES, MARCELO GODOY; DE SOUZA, WESLEY ANGELINO; POMILIO, JOSE ANTENOR. Novel expert system for defining power quality compensators. EXPERT SYSTEMS WITH APPLICATIONS, v. 42, n. 7, p. 3562-3570, MAY 1 2015. Web of Science Citations: 6.
MARAFAO, FERNANDO PINHABEL; BRANDAO, DANILO IGLESIAS; COSTABEBER, ALESSANDRO; MORALES PAREDES, HELMO KELIS. Multi-task control strategy for grid-tied inverters based on conservative power theory. IET RENEWABLE POWER GENERATION, v. 9, n. 2, p. 154-165, MAR 2015. Web of Science Citations: 17.

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