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Stability and control of power systems using techniques of control systems in networks

Grant number: 22/09175-7
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Effective date (Start): August 01, 2022
Effective date (End): June 30, 2023
Field of knowledge:Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
Principal Investigator:João Bosco Ribeiro do Val
Grantee:Mohammadhosein Sabzalian
Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:16/08645-9 - Interdisciplinary research activities in electric smart grids, AP.TEM

Abstract

The central theme of this project is the use of Network Control Systems (NCS) techniques applied to an up-to-date laboratory energy system. It has the underlying structure of communication channels and is suitably equipped for the modern functions of a smart grid. The objective is to promote techniques incorporating the NCS problem regarding communication restrictions imposed by communication channels with bandwidth limitations, indefinite delays, and data losses due to integrity or annihilation. The project accounts for a comprehensive control problem involving system stabilization, state estimation, and control. The main aim is to reach an adequate level of reliability and performance on a power system with multiple distributed power electronics converters. The control structure may adopt a specific degree of distribution, ranging from centralized to a highly distributed architecture, imposing different commitments on the underlying resources. On the one hand, levels of decentralization impose different capacity requirements on the channels and, on the other hand, different demands on decision-making capacity and autonomy to distributed agents. This proposal aims to achieve a duly approach to existing techniques for application in the laboratory plant, which, when assimilated, will allow programs for use with unique techniques with potential application in larger smart grid systems. (AU)

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