Short term hydrothermal operation planning model using semidefinite programming

Author(s)

Miguel Paredes Quiñones

• Document type: Doctoral Thesis
• Press: Campinas, SP.
• Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
• Defense date: 2016-05-02

Examining board members

Secundino Soares Filho; André Luiz Diniz Souto Lima; Alexandre Street de Aguiar; Paulo Augusto Valente Ferreira; Marcos Julio Rider Flores

• Advisor: Secundino Soares Filho; Leonardo Silveira de Albuquerque Martins

Abstract

This research considers the development of two optimization models for short-term hydroelectric and thermoelectric scheduling (STHTS). Each of these problems has been formulated as a nonlinear mixed model integer large scale, solved using the advantages of semidefinite programming (SDP) applied to relaxation of quadratic constrained quadratic programming (QCQP). The models should find optimal operation scheduling of hydroelectric and thermoelectric plants for a time horizon of a day or a week discretized in hours. The objective function to be minimized is the cost of water use of hydroelectric power plants and for thermoelectric model considers the combustible costs, also in both cases the units start-up costs are considered. The use of binary variable for unit commitment representation and non-linear constraints of the transmission system, turn those problems a high complexity problem. The solution technique for the hydropower model was by a B & B algorithm with a heuristic alternative to large scale problems. In the case of thermoelectric model was applied a decomposition integer SDP based on Benders decomposition (AU)

• FAPESP's process: 13/07570-7 - Model of Hydrothermal Unit Commitment Using Semidefinite Programming
• Grantee: Miguel Paredes Quinones
• Support Opportunities: Scholarships in Brazil - Doctorate