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Decision support for power system control centers – a model based reasoning component
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Orientador(es)
Resumo(s)
The increasing demand on Power System Control Centers (PSCC) for optimization of the use of the Electrical Network
implies, as one of its key focuses, the fastest possible restoration of service. Human PSCC operators (PSCCO) control the Electrical Network aided by a distributed system of sensors and actuators, which produce temporal information about the networks’ state. These distributed systems are known as Supervisory Control and Data acquisition or SCADA systems. In incident situations, in which SCADA systems can produce huge amounts of information, PSCCOs can become very stressed and loose the necessary focus to perform an accurate diagnosis and hence proper power restoration.
Several approaches have been made to develop systems which can cope with the particularly hard features of this
problem in real-time. This paper presents a model based teasoning component which is integrated in a multicomponent system with the task of Electrical Network diagnosis and restoration. This particular component adds
adaptability to the system ensuring correct behaviour on any topological variation of the part of the electrical network in service or its protection schemes. The whole system
is fully functional and operating in the Portuguese Electrical Network Dispatch Center.
Descrição
Palavras-chave
Model Based Reasoning Temporal Reasoning Non-Monotonic Reasoning Incomplete Information Power Systems
Contexto Educativo
Citação
Malheiro, N., Vale, Z., Ramos, C., Cordeiro, M., Marques, A. & Couto, V. (2004, July 21-23). Decision support for power system control centers – a model based reasoning component. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 313-319). Porto. Portugal
Editora
Knowledge Engineering and Decision Support Research Group - GECAD
Coleções
Licença CC
Sem licença CC