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Optimization Criteria Weighing in Dynamic Optimal Power Flow Performing Monthly, Weekly and Daily Hydrothermal Generation Dispatch

Lachovicz, Felipe J. ; Fernandes, Thelma S. P. ; Bessa, Marcelo R. ; de Geus, Klaus

Journal of control, automation & electrical systems, 2021-12, Vol.32 (6), p.1704-1717

New York: Springer US

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  • Título:
    Optimization Criteria Weighing in Dynamic Optimal Power Flow Performing Monthly, Weekly and Daily Hydrothermal Generation Dispatch
  • Autor: Lachovicz, Felipe J. ; Fernandes, Thelma S. P. ; Bessa, Marcelo R. ; de Geus, Klaus
  • Assuntos: Control ; Control and Systems Theory ; Cost analysis ; Criteria ; Discretization ; Electrical Engineering ; Engineering ; Mechatronics ; Optimization ; Power flow ; Power plants ; Robotics ; Robotics and Automation ; Weighing
  • É parte de: Journal of control, automation & electrical systems, 2021-12, Vol.32 (6), p.1704-1717
  • Descrição: This work describes a method for optimization criteria weighing in a dynamic optimal power flow that determines the following types of hydrothermal dispatch: monthly and weekly discretized by load levels and daily discretized by hours. This dynamic optimal power flow is used along with a formulation that determines medium-, short- and very short-term hydrothermal dispatch. It adopts a detailed representation of all hydroelectric and thermoelectric plants and includes electrical restrictions for the Brazilian interconnected system. The optimization criteria considered are as follows: minimization of the thermal operation cost, the deficit cost, the electrical losses, minimization of the power flow through the interchange lines and the deviation of thermal power concerning the targets provided by an energetic problem. These targets are previously computed and aim at attending to the energy demand, minimizing the fuel and deficit costs. Concomitant consideration of these optimization criteria requires analysis of the best combination of weights associated with each portion of the objective function. The applied method uses an effort versus impact matrix to assist a combination of weights that meet pre-established criteria, as well as to normalize the results of each portion to better characterize the performance of each of them in solving the problem. The use of this method is part of an ANEEL R&D project, proposed by COPEL, PD-06491-0307-2013, which provides for large-scale optimization applied to the Brazilian hydrothermal dispatch. The weighing process described was tested for the PAR-ONS case for the year 2020 (winter), which has 6812 buses and 9921 lines.
  • Editor: New York: Springer US
  • Idioma: Inglês
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