Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Schulz, N. Noel

Committee Member

Ginn, L. Herbert

Committee Member

Grzybowski, Stanislaw

Date of Degree

1-1-2007

Document Type

Graduate Thesis - Open Access

Degree Name

Master of Science

College

College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

Real time monitoring of the shipboard power system is a complex task to address. Unlike the terrestrial power system, the shipboard power system is a comparatively smaller system but with more complexity in terms of its system operation. This requires the power system to be continuously monitored to detect any type of fluctuations or disturbances. Planning metering systems in the power system of a ship is a challenging task not only due to the dimensionality of the problem, but also due to the need for reducing redundancy while improving network observability and efficient data collection for a reliable state estimation process. This research is geared towards the use of a Genetic Algorithm for intelligent placement of meters in a shipboard system for real time power system monitoring taking into account different system topologies and critical parameters to be measured from the system. The algorithm predicts the type and location of meters for identification and collection of measurements from the system. The algorithm has been tested with several system topologies.

URI

https://hdl.handle.net/11668/15575

Comments

Power system monitoring||genetic algorithm||shipboard power system||state estimation||system observability||meter placement

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