Todays protection schemes for shipboard applications, such as the zone-based differential protection, are efficient, fast, and reliable for fault detection. However, these protection schemes do not consider the system stability or power balance problems that occur with fault isolation and the system reconfiguration. This thesis focuses on developing the extended protection function including the fast reconfiguration function that intends to maintain the power balance of the unfaulted subsystem. Graph theory is utilized to represent the shipboard power system topology in matrices, and matrix operations are developed to represent the corresponding power system topology change and evaluate the outcome of the fault. Intelligent search algorithms are implemented to find the possible system configuration after fault isolation with balanced power generation and load through merging possible connected systems and priority-based load shedding. The algorithms are successfully implemented in MATLAB miles and tested on various shipboard power system configurations and fault scenarios.

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Greco-Roman religion in the ancient Mediterranean permeated aspects of everyday life, including seafaring. Besides cargo, ships transported mariners' religious beliefs from port to port, thus disseminating religious culture. Shipboard ritual, however, remains largely inferred from Latin and Greek texts, iconography, and isolated archaeological finds. Several accounts record that tutelary statues were carried on board to deliver a ship from peril. These accounts are supported by iconographic representations of deities on the hull and a relief scene which shows the use of altars and incense in shipboard ritual. Moreover, ritual objects, including altars, small statuary, incense burners, and lustral basins, have been found among shipwrecks, but prior archaeological research has been particularistic, singling out ritual objects in shipwrecks. Their presence, however, does not necessitate shipboard ritual since these items may have been cargo. To distinguish between personal items and cargo on board ancient shipwrecks, I analyze such objects both objectively and subjectively: first focusing on an object to discern a potential purpose and then again within a spatial context to define its actual purpose. Additionally, I develop religious and social space theories for shipboard analysis, identifying ritual at the bow and stern and concluding that the stern in particular served as an axis mundi, a central location for divine communication. Furthermore, because of this comprehensive approach, large ritual objects such as altars and lustral basins often can be identified primarily as cargo. Ultimately, applying social space theory to shipwrecks can redefine our interpretation of religious activity on board the ship, an intermediary in the dissemination of culture.

In shipboard power systems (SPS), it is important to provide continuous power to vital loads so that their desired missions can be completed successfully. Several components exist between the primary source and the vital load such as transformers, cables, or switching devices. These components can fail due to mechanical stresses, electrical stresses, and overloading which could lead to a system failure. If the normal path to a vital load cannot supply power to it, then it should be powered through its alternate path. The process of restoring, balancing, and minimizing power losses to loads is called network reconfiguration. Prognostics is the ability to predict precisely and accurately the remaining useful life of a failing component. In this work, the prognostic information of the power system components is used to determine if reconfiguration should be performed if the system is unable to accomplish its mission. Each component will be analyzed using the Weibull Distribution to compute the conditional reliability from present time to the end of the mission. To determine if reconfiguration is needed, all components to a given load will be utilized in structure functions to determine if a load will be able to survive during a time period. Structure functions are used to show how components are interconnected, and also provide a mathematical means for computing the total probability of a system. This work will provide a method to compute the conditional survivability to a given load, and the results indicate the top five loads that have the lowest conditional survivability during a mission in known configuration. The results show the computed conditional survivability of loads on an all electric navy ship. The loads conditional survivability is computed on high/medium voltage level and a low voltage level to show how loads are affected by failing components along their path.

Several cruises of current measurements along various cross-Taiwan Strait transects were conducted by using shipboard Acoustic Doppler Current Profiler (ADCP) during 2001-2003. The main purpose of these experiments is to obtain seasonal variations of flow structures and volume transport in the central and southern regions of the Taiwan Strait. In each cruise the semidiurnal tidal currents were eliminated from the ADCP currents by two different methods, i.e., the phase averaging method and the TSNOW calculation. The subtidal current in the Taiwan Strait generally flows in the parallel-strait direction. In summer when the southwest monsoon prevails, the water in the strait originates from the South China Sea (SCS) or the Kuroshio. This northward-flowing water is divided into two parts by the archipelago of Penghu; the majority keeps flowing northward along the Penghu Channel (PHC), the minority flows northwestward around the Penghu Island. The flows in the surface layer of the PHC reach a maximum speed of 60 cm/s or greater. In winter, strong NE winds push the fresh and cold China Coastal water southward, along the western part of the Taiwan Strait. The SCS or Kuroshio water still flows northward on the eastern part of the strait. The maximum northward current still occurs in the PHC and is around 20 cm/s or less in the winter. Our results from the phase averaging method of all six cruises indicate that the net transports along the Taiwan Strait are all flowing northward, with a maximum value of about 2.5 Sv in summer (August 2001) and a minimum value of about 0.5 Sv in winter (March 2003). The standard deviation of the volume transport is 0.3 Sv. Due to its greater depths and strong currents, the volume transport in the PHC amounts to approximately 75% of the total transport of the Taiwan Strait. Based on the phase averaging results, the transport is related to the along-strait wind by a simple regression: , the sign convention is positive for southwesterly wind and transport.

The electric power systems in U.S. Navy ships supply energy to sophisticated systems for weapons, communications, navigation and operation. The reliability and survivability of a Shipboard Power System (SPS) are critical to the mission of a Navy ship, especially under battle conditions. When a weapon hits the ship in the event of battle, it can cause severe damage to the electrical systems on the ship. Researchers in the Power System Automation Laboratory (PSAL) at Texas A&M University have developed methods for performing reconfiguration of SPS before or after a weapon hit to reduce the damage to SPS. Reconfiguration operations change the topology of an SPS. When a system is stressed, these topology changes and induced dynamics of equipment due to reconfiguration might cause voltage instability, such as progressive voltage decreases or voltage oscillations. SPS stability thus should be assessed to ensure the stable operation of a system during reconfiguration. In this dissertation, time frames of SPS dynamics are presented. Stability problems during SPS reconfiguration are classified as long-term stability problems. Since angle stability is strongly maintained in SPS, voltage stability is studied in this dissertation for SPS stability during reconfiguration. A test SPS computer model, whose simulation results were used for stability studies, is presented in this dissertation. The model used a new generalized methodology for modeling and simulating ungrounded stiffly grounded power systems. This dissertation presents two new indices, a static voltage stability index (SVSILji) and a dynamic voltage stability index (DVSI), for assessing the voltage stability in static and dynamic analysis. SVSILji assesses system stability by all lines in SPS. DVSI detects local bifurcations in SPS. SVSILji was found to be a better index in comparison with some indices in the literature for a study on a two-bus power system. Also, results of DVSI were similar to the results of conventional bifurcation analysis software when applied to a small power system. Using SVSILji and DVSI on the test SPS computer model, three of four factors affection voltage stability during SPS reconfiguration were verified. During reconfiguration, SVSILji and DVSI are used together to assess SPS stability.

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The next generation of U.S. Navy ships will see the integration of the propulsion and electrical systems as part of the all-electric ship. This new architecture brings advantages and challenges. One of the challenges is to develop a stable power system that can ride through various issues such as faults or changes in load. style='mso-spacerun:yes'> While terrestrial systems have been studied for a long time related to stability, the unique characteristics of the shipboard power system mean that not all of these results are directly applicable to the all-electric ship. Because of the new shipboard power system structure, more generators are required to be connected in parallel to supply the power needed. Control of parallel generators has been done for years in terrestrial systems; however, the application of an advanced control technique has not been applied in the All-Electric Ship. The challenge is to apply an advanced control technique to the all-electric shipboard power system that will maintain stability of multiple generator systems, keeping in mind that the generators could be dissimilar in ratings. style='mso-spacerun:yes'> For that reason, the control techniques used to solve the problem need to be developed or adapted for test cases that are similar to the electric ship configuration. This dissertation provides a description of an effort to implement a robust control scheme on the all-electric ship. style='mso-spacerun:yes'> The proposed solution is to apply H∞ Robust Control as an advanced control technique, with realistic constraints to keep the shipboard power system within stability margins during normal and abnormal operating scenarios. In this work, H∞ Robust Control has been developed in the form of state space equations which are optimized using linear matrix implementation. The developed H∞ Control has been implemented on the different operating scenarios to validate the functionality and to compare it with another control technique. style='mso-spacerun:yes'> Test case results for one-generator, two-generator similar and two-generator dissimilar have been described. style='mso-spacerun:yes'> Stability indicators have been determined and compared for various types of faults and transients for removing and adding static and dynamic loads. The research provides the foundation for applications of advanced control techniques for the next generation all-electric ship.

The shipboard power system supplies energy to sophisticated systems for weapons, communications, navigation, and operation. After a fault is encountered, reconfiguration of a shipboard power system becomes a critical activity that is required to either restore service to a lost load or to meet some operational requirements of the ship. Reconfiguration refers to changing the topology of the power system in order to isolate system damage and/or optimize certain characteristics of the system related to power efficiency. When finding the optimal state, it is important to have a method that finds the desired state within a short amount of time, in order to allow fast response for the system. Since the reconfiguration problem is highly nonlinear over a domain of discrete variables, the genetic algorithm method is a suitable candidate. In this thesis, a reconfiguration methodology, using a genetic algorithm, is presented that will reconfigure a network, satisfying the operational requirements and priorities of loads. Graph theory is utilized to represent the shipboard power system topology in matrices. The reconfiguration process and the genetic algorithm are implemented in MATLAB and tested on an 8-bus power system model and on larger power system with distributed generators by considering different fault scenarios. Each test system was reconfigured in three different ways: by considering load priority, without considering load priority, and by combining priority factor and magnitude factor. The test results accuracy was verified through hand checking.