Optimization of Large-Scale Hydrothermal System Operation

Autor(es)

Zambon, Renato C. ^[1] ; Barros, Mario T. L. ^[1] ; Lopes, Joao Eduardo G. ^[2] ; Barbosa, Paulo S. F. ^[2] ; Francato, Alberto L. ^[2] ; Yeh, William W. -G. ^[3]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Hydraul & Environm Engn, Polytech Sch Engn, Sao Paulo - Brazil

^[2] State Univ Campinas UNICAMP, Dept Water Resources, Sch Civil Engn, Campinas, SP - Brazil

^[3] Univ Calif Los Angeles, Dept Civil & Environm Engn, Los Angeles, CA 90095 - USA

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT; v. 138, n. 2, p. 135-143, MAR-APR 2012.
• Citações Web of Science: 28

Resumo

This paper presents the development of a mathematical model to optimize the management and operation of the Brazilian hydrothermal system. The system consists of a large set of individual hydropower plants and a set of aggregated thermal plants. The energy generated in the system is interconnected by a transmission network so it can be transmitted to centers of consumption throughout the country. The optimization model offered is capable of handling different types of constraints, such as interbasin water transfers, water supply for various purposes, and environmental requirements. Its overall objective is to produce energy to meet the country's demand at a minimum cost. Called HIDROTERM, the model integrates a database with basic hydrological and technical information to run the optimization model, and provides an interface to manage the input and output data. The optimization model uses the General Algebraic Modeling System (GAMS) package and can invoke different linear as well as nonlinear programming solvers. The optimization model was applied to the Brazilian hydrothermal system, one of the largest in the world. The system is divided into four subsystems with 127 active hydropower plants. Preliminary results under different scenarios of inflow, demand, and installed capacity demonstrate the efficiency and utility of the model. From this and other case studies in Brazil, the results indicate that the methodology developed is suitable to different applications, such as planning operation, capacity expansion, and operational rule studies, and trade-off analysis among multiple water users. DOI: 10.1061/(ASCE)WR.1943-5452.0000149. (C) 2012 American Society of Civil Engineers. (AU)

• Processo FAPESP: 08/58508-1 - HidroRisco: tecnologias de gestão de riscos aplicadas a sistemas de suprimento hídrico e de energia elétrica
• Beneficiário: Paulo Sérgio Franco Barbosa
• Modalidade de apoio: Auxílio à Pesquisa - Temático