Cooperative algorithms and abductive causal networks for the automatic generation of intelligent substation alarm processors
- Resource Type
- Conference
- Authors
- Abascal, P.A.; Talukdar, S.
- Source
- Proceedings of International Conference on Intelligent System Application to Power Systems Intelligent systems applications to power systems Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on. :7-13 1996
- Subject
- Power, Energy and Industry Applications
Computing and Processing
Intelligent networks
Substations
Power system modeling
Object oriented modeling
Power system faults
Design engineering
Prototypes
Artificial intelligence
Power generation
Information systems
- Language
To improve the overall power system network maintenance, a challenging subject is to have a day-by-day interpretation of the alarm messages produced in every substation. Our research goal is to design a system able to automatically produce a set of local alarm processors (one for each substation). We address the problem of transforming the substation-dependent knowledge of the ISAP prototype-the substation model and diagnostic mechanism-tightly coupled into the rule base to a structural scheme of knowledge loosely coupled to the diagnostic system. We describe DX, a general diagnostic problem solver based on a qualitative abductive model and the set covering optimization paradigm. The system follows the asynchronous team approach: it is formed by a set of parallel unsupervised cooperative algorithms which work on populations of solutions.