Date of Award
3-4-2009
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Kenneth M. Hopkinson, PhD
Abstract
This thesis investigates the application of a Exponential Weighted Moving Average (EWMA) to be used as a memory buffer in conjunction with Special Protection Schemes (SPS) using the Electric Power and Communication Synchronizing Simulator (EPOCHS). It is proposed that using an SPS incorporating EWMA can compensate for the network layer lack of guarantee of packet delivery and provide for the stability and integrity of the power grid under a catastrophic event. The performance of the proposed SPS is evaluated using a discrete event computer simulation developed using the NS2 network simulator and the Power System Simulator for Engineering (PSS/E) power system simulator. Performance and metrics evaluated in terms of the SPS’s ability to properly calculate disturbance size and to react to the disturbance before the system reaches the minimum frequency threshold of 58.8 HZ and before 0.5 second threshold. Experimental results indicate that the proposed SPS with EWMA can be successfully be applied to ensure power grid stability regardless of network background traffic. The results indicate that the proposed EWMA SPS ensures the protection of the grid. The EWMA SPS has a significant impact on performance when applied to a heavy background traffic network without router reservation enabling it to be stable without the additional hardware cost. Overall, in the tested configuration, the new SPS system successfully maintained steady state operation under all traffic intensities.
AFIT Designator
AFIT-GE-ENG-09-31
DTIC Accession Number
ADA498989
Recommended Citation
Oquendo Class, Luis A., "Optimized Robust Adaptive Networks in Supervisory Control and Data Acquisition Systems" (2009). Theses and Dissertations. 2551.
https://scholar.afit.edu/etd/2551