Experience with operational management systems for power distribution networks, with special emphasis on remote control and the use of `artificial intelligences´

The use of `artificial intelligences´ in network management systems relieves the burden on the network manager, particularly in stress situations. With the introduction of digital station instrumentation and control technology, the network manager, when confronted with a fault, can now call up all the malfunction parameters available in the station. With the aid of `artificial intelligences´, these data, in conjunction with the messages being received by the network management system and the network topology image stored in the computer´s memory, can be used to locate the fault concerned. The authors summarize the experience gained with these network management systems, indicating the reasons which led to expansion of what was originally an annunciation system to incorporate a remote control option, and describing the intended enhancements featuring `artificial intelligences´. The computer-aided network management systems have proved their worth. Initial experience with remote control shows that the anticipated advantages have been obtained