Abstract
Supervisory control and data acquisition (SCADA) infrastructures have so far been brought into the huge amount of focus since the need for a more reliable power system accosting with the catastrophic events of interruptions has been raised. Hence, benefiting from an automation technology which can remotely monitor and coordinate commands to enable immediate response and switching are obviously inevitable. This paper outlines an implementable method in response to the goal of placement of remote terminal units (RTUs) which are in charge for data acquisition and control in a power distribution system. In this light, a new practical methodology based on the robust decision making (DM) method, analytical hierarchical process (AHP), is proposed to simply and at the same time profoundly exploit some practical aspects which have not been considered before in the cases of placements. The proposed method investigates both qualitative and quantitative aspects interrelated with the placement problem. Fuzzy sets are then involved to overcome the existent uncertainty and judgment vagueness. The optimum number of RTUs to be located in the previous-step obtained candidates is determined through reliability cost/worth analysis. Having the belief practically implemented on a real distribution test feeder of Iran’s power grid, the efficacy and accuracy of the proposed methodology are satisfactorily confirmed.
Original language | English |
---|---|
Pages (from-to) | 31-42 |
Number of pages | 12 |
Journal | International Journal of Electrical Power Energy Systems |
Volume | 37 |
Issue number | 1 |
DOIs | |
Publication status | Published - May 2012 |
Bibliographical note
The authors hereby offer their special regards for the helpful comments and contribution of Eng. Ghassem Karami. They also appreciate Eng. Hossein Mozaffari and Prof. Mehdi Vakilian whose technical and practical viewpoints were constructive in this paper fulfillment.Keywords
- Remote terminal units (RTUs)
- Placement
- Analytical hierarchical process (AHP)
- Power distribution system
- Reliability cost/worth