Active Database Systems: Triggers and Rules for Advanced Database Processing
Active Database Systems: Triggers and Rules for Advanced Database Processing
Compile-Time and Runtime Analysis of Active Behaviors
IEEE Transactions on Knowledge and Data Engineering
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The electric utility has the responsibility to provide a good quality of electricity to their customers. Therefore, they have introduced DAS (Distribution Automation System) to automate the power distribution networks. DAS engineers need a set of state-of-the-art applications, eg. managing distribution system in active manner and gaining economic benefits from a flexible DAS architectural design. The existing DAS functionally could not handle these needs. It has to be managed by operators whenever feeder overloadings are detected. Therefore, it may be possible for propagating the feeder overloading area, if operator makes a mistake. And it utilizes closed architecture, therefore it is hard to meet the system migration and future enhancement requirements. This paper represents web based, platform-independent, flexible DAS architectural design and active database application. The recently advanced internet technologies are fully utilized in the new DAS architecture. Therefore, it can meet the system migration and future enhancement requirements. And, by using active database, DAS can minimize feeder overloadings area in distribution system without intervening of operator, therefore, minimizing feeder overloadings area can be free from the mistake of operator.