Uma metodologia baseada em algoritmos genéticos para melhorar o perfil de tensão diário de sistemas de potência = : A genetic-algorithm-based methodology for improving daily voltage profile of power systems / A genetic-algorithm-based methodology for improving daily voltage profile of power systems

AUTOR(ES)
FONTE

IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia

DATA DE PUBLICAÇÃO

31/01/2006

RESUMO

The main contribution of this thesis is the proposal of a new methodology together with the implementation of a decision support system for real-time transmission grid operation. Hence, a methodology for improving voltage pro- _le for power transmission systems is described in this thesis. Basically, it consists in tuning the transformers taps in a way that the buses voltages in the same area would stay around a pre-specified level. Genetic Algorithms are applied for this optimization process in a way that, at the end of this process, a set of taps values that can drive the power system s voltage closer to a desired voltage level (if applied to it) is obtained. Furthermore, the proposed approach is not only able to analyze a static picture" of power load, but also to cope with the issue of programming the hourly daily tap strategy according to the variations of the daily load profile. The proposed methodology is first evaluated with the IEEE-30-bus" and with the IEEE-118-bus" test cases so that it could be finally applied to the Brazilian interconnected national power system. Besides, a decision support system was implemented during the progress of the work. Such system was designed in a way that it could be possibly used by a grid operator in order to evaluate load flows and also to develop many different studies by analyzing the system s sensitiveness to the load variations at real time operation and also by evaluating a variety of contingencies scenarios.

ASSUNTO(S)

algoritmos genéticos sistemas de tempo real genetic algorithms real time systems

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