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Adaptive Overcurrent Protection Scheme for Shipboard Power SystemsAmann, Nicholas Paul 07 August 2004 (has links)
Future naval ships will be all-electric, with an integrated power system that combines the propulsion power system with the rest of the ship?s electrical distribution system. Reconfiguration of the power system will increase fight-through and survivability of ships, but will also require the systems that support the power system, such as the protection system, to be automatically updated to match current power system needs. This thesis presents an adaptive relaying scheme for shipboard power systems, to automatically modify relay settings after power system topology changes. Multiple Groups of relay settings are predetermined and stored in the digital relays that are protecting the power system. The active Group of settings is automatically determined based on the open/close status of breakers and switches. The developed protection scheme is tested on two test cases by digital simulation using CAPE software and on one case by closed-loop simulation with RTDS and SEL-351S relays.
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Genetic Algorithm Based Damage Control For Shipboard Power SystemsAmba, Tushar 2009 May 1900 (has links)
The work presented in this thesis was concerned with the implementation of a
damage control method for U.S. Navy shipboard power systems (SPS). In recent years,
the Navy has been seeking an automated damage control and power system management
approach for future reconfigurable shipboard power systems. The methodology should
be capable of representing the dynamic performance (differential algebraic description),
the steady state performance (algebraic description), and the system reconfiguration
routines (discrete events) in one comprehensive tool. The damage control approach
should also be able to improve survivability, reliability, and security, as well as reduce
manning through the automation of the reconfiguration of the SPS network.
To this end, this work implemented a damage control method for a notional Next
Generation Integrated Power System. This thesis presents a static implementation of a
dynamic formulation of a new damage control method at the DC zonal Integrated Flight
Through Power system level. The proposed method used a constrained binary genetic
algorithm to find an optimal network configuration. An optimal network configuration is
a configuration which restores all of the de-energized loads that are possible to be restored based on the priority of the load without violating the system operating
constraints. System operating limits act as constraints in the static damage control
implementation. Off-line studies were conducted using an example power system
modeled in PSCAD, an electromagnetic time domain transient simulation environment
and study tool, to evaluate the effectiveness of the damage control method in restoring
the power system. The simulation results for case studies showed that, in approximately
93% of the cases, the proposed damage algorithm was able to find the optimal network
configuration that restores the power system network without violating the power system
operating constraints.
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