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Power transmission networks are large and eomplex systems, and are subject to local failures. They are protected by automatic devices that disconnect faulted areas after a failure to suppress short circuits or overloads on lines. The objectives of the operators are to restore the power supply of loads in the disconnected areas and to consolidate the network by the restoration of non-faulty network components. Restoration is a reconfiguration process: a restoration plan is a sequence of discrete actions on the network (opening or closing circuitbreakers, disconnecting of automatons, ...). To construct these plans, the operators must take into account general restoration guidelines or local constraints, but most of the procedure relies on their experience. The aim of the MARS project is to provide the operator with an aid during these delicate phases of network monitoring. MARS is a second generation expert system which takes into account the man-machine cooperation problematic. MARS constructs restoration plans after a local failure on a power transmission network. Organized around a blackboard architecture, it integrates planning knowledge sources containing the restoration expertise, a qualitative model to predict the results of the considered actions and a quantitative model to verify the correctness of the plans towards numerical constraints (load flow).

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