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Long term hydrothermal scheduling of the brazilian integrated system based on model predictive control

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Author(s):
Monica de Souza Zambelli
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
Defense date:
Examining board members:
Secundino Soares Filho; Edson Luiz da Silva; Donato da Silva Filho; Alberto Luiz Francato; Pedro Luis Dias Peres
Advisor: Secundino Soares Filho
Abstract

The long term hydrothermal scheduling of the Brazilian Integrated System (SIN) is a complex task solved by a chain of long, medium and short term coupled models, each one with considerations pertinent to the stage of operation that it deals with. The proposal of this work is to present an alternative for the long term hydrothermal scheduling. A methodology based on model predictive control was developed, implicitly handling stochastic aspects of the problem by the use of inflows expected values, and making use of a deterministic optimization model to obtain the optimal dispatch for individualized plants, what makes possible a more accurate representation of the hydrothermal system. The performance analysis is made through simulations of the operation, taking into consideration all the hydro and thermal plants that compose the SIN, with real operative constraints, in dynamic configuration, with its expansion plan and the possibility of interchange and importation from neighboring markets. The results are compared with those provided by the approach actually in use by the Brazilian electric sector, specifically the NEWAVE model, which defines the generation decisions for the subsystems, and the Suishi-O model, that disaggregates them for the individualized plants (AU)

FAPESP's process: 06/03986-0 - Hydrothermal scheduling of the Brazilian Integrated System
Grantee:Mônica de Souza Zambelli
Support type: Scholarships in Brazil - Doctorate