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State estimation for smart power distribution networks

Grant number: 15/04538-0
Support type:Scholarships in Brazil - Master
Effective date (Start): August 01, 2015
Effective date (End): April 12, 2017
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Eduardo Nobuhiro Asada
Grantee:Mohamad Salem Ismail Neto
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil


This research project consists on studies of mathematical modeling and solutionmethods of power distribution state estimation problem. The models and algorithms that most suit the new Smart grid operation scenario will be addressed. In orde to analyze the performance and quality of the results,benchmark systems often used in state estimation problems will be considered such as the Brazilian systems and the IEEE reference systems. Special programs such as OpenDSS which is for distribution system analysis will be used for system analysis and measurement generator. The Python programming language and framework will be adopted for algorithm and methodology testing. The performance evaluation of the algorithms will be based on statistical tests after a significant number of simulations. Finally, a state estimation method suited for distribution system that involves unusual measurements such as Phasor measurement units, smart meter measurements and measurements on the distribution system feeders will be sought in this project.

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Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
NETO, Mohamad Salem Ismail. State estimation for advanced electric power distribution networks. 2017. Master's Dissertation - Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) São Carlos.

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