Rajan, Mahesh (2024) Electric Power Load Analysis of a Naval Ship's Surveillance Radar System Using Stochastic Method. [USQ Project]
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Abstract
This thesis examines the application of stochastic methods to Electric Power Load Analysis (EPLA) for a surveillance radar system on a naval warship. Traditional deterministic methods of conducting EPLA, which typically use historical utilisation factors, often fail to accurately represent the complex and dynamic operating load patterns inherent in modern naval ships, particularly under varying (ship) operating conditions and environmental conditions. This research addresses the limitations of deterministic methods by integrating randomness and probability distributions into modelling the radar's operating load. The stochastic method enables the estimation of exceedance probabilities for critical operating load thresholds and the development of informed risk mitigation strategies. The research uses Monte Carlo simulation to account for variability and uncertainty in the radar's operating load by using three random variables influencing the operating load in real-world scenarios (radar operational state, environmental conditions, and deterministic utilisation factors). The findings emphasise the advantages of the stochastic methodology over deterministic methodology by providing a deeper understanding of the radar's operating load pattern and its implications for the ship's electrical system. The thesis intends to contribute to the naval (electrical) engineering domain by enhancing naval warship electrical system design and power management. The outcome of this work will ultimately contribute to improved efficiency, reliability and optimised power management on naval warships. This work aims to achieve the United Nations Sustainable Development Goals, SDG7 Affordable and Clean Energy, SDG9 Industry, Innovation, and Infrastructure and SDG13 Climate Action.
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Statistics for this ePrint Item |
| Item Type: | USQ Project |
|---|---|
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -) |
| Supervisors: | He, Zhi |
| Qualification: | Bachelor of Engineering (Honours) (Electrical and Electronic) |
| Date Deposited: | 17 Mar 2026 05:15 |
| Last Modified: | 17 Mar 2026 05:15 |
| Uncontrolled Keywords: | Electric Power Load Analysis (EPLA); surveillance radar system; stochastic method |
| URI: | https://sear.unisq.edu.au/id/eprint/53153 |
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