An Inference Technique based on Semantic Primitives for the Development of Intelligent Load Distribution Systems

Abstract

This paper presents a novel inference technique based on the semantic primitives for the development of intelligent distribution systems. We use the term load distribution in this paper to designate switchgears, feeders and loads for large buildings and apartment complexes after the MOF. With the rapid development of the techniques in the fields of communications and computers, most electric facilities and protection relays have been digitalized. Extensive and detailed informations on the operating status are now available, which enable us to perform more sophisticated monitoring and management of the distribution loads. The operating status of the several local distribution systems can be monitored even remotely by a central supervisory system. In this paper, we present an inference technique that can be used as one of the basic techniques in building intelligent power distribution panel systems. The technique can evaluate the distribution panel system operating status based on the semantic primitives, which are linguistic expressions in high abstraction levels. Results show that inference capabilities and thus the intelligence of the distribution monitoring systems can be significantly enhanced with our approach. The proposed techniques are also being extended in developing an intelligent remote monitoring systems for large building and apartment complex distribution systems.