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Diagnóstico de faltas em sistemas de potência: definição do problema e abordagens via inteligência artificial

Due to the continuous increase in energy demand, without the corresponding investment in generation and transmission capacity, power systems have been operating close to their limits. Thus, the use of tools for supporting the operation is essential in order to increase reliability, reducing the number and/or duration of non-programmable interruptions, optimizing the use of assets. Aiming to reduce the duration of interruptions, several research works have been published describing tools developed to support the fault diagnosis task. These tools would be used during real time operation, after contingencies with definitive interruptions before starting the restoration process. This paper discusses important aspects of the fault diagnosis problem and the techniques more frequently employed to model and tackle this problem.

Fault Diagnosis; Power Transmission Systems; Articial Intelligence


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