MIT ESRDC YEAR 2010 WORK PLAN ESRDC Year 2010 Work Plan Franz Hover Structural Design of Power Distribution Systems We will address foundational design issues for power distribution systems, with specific application to the MVDC objectives in the AES. We have been focusing on design of robust distribution systems based on specification of structural parameters (such as degree distribution), rather than individual realizations, because structural design is truly scalable whereas design of a realization is not. To set up the problem, we model the DC power system as an undirected flow graph, and then identify the most robust classes of networks for AES operating conditions, employing optimization and random graph theory techniques. For example, such an approach can quantify how much connectedness is necessary to prevent islanding of components following a failure, while also minimizing exposure to damage in other parts of the ship and maintaining an acceptable level of efficiency. Although we do take a global network view in the problem statement, the objective is not to generate entirely random interconnections, but rather to understand what topology modifications could be made to an existing baseline design, to improve performance. Geographical considerations can be embedded in the graph structure. By making the foundational power system layout as robust and efficient as possible we minimize the burden on higher level control measures, because these good properties are intrinsic to the design. ESRDC Year 2010 Work Plan Steven B. Leeb Combat Power Monitor Proposed Effort 1. During the proposed work, we will continue to develop such models and to use them to return immediate value to active vessels. The simulation models that we create, which are VTB compatible, are intended to be of use to the entire ship design community. During the coming year we intend to focus on models for diagnostic indication and pathology detection in electrical distribution and generation plans, and also HVAC systems. During the current performance period, we have successfully demonstrated the NILM as a field capable platform using data collected from the USCGC Seneca and USCGC Escanaba and preliminary data from the DDG-51 LBES facility at the Philadelphia Navy Yard. For instance, we have already created models that have allowed the NILM to diagnose impending failures in both Auxiliary Sea Water (ASW) and waste-disposal systems [2], [3]. During the proposed effort, we will collaborate to develop modelbased diagnostic indicators for critical shipboard mechanical systems, including cycling pump systems, liquid cooling systems, air handlers and HVAC systems, water purification systems, generation, and other mission critical electromechanical loads. MIT ESRDC YEAR 2010 WORK PLAN 1 2. During the proposed performance period, we will develop a hardware emulator for the electrical generation aboard a ship. We will develop a minimum-two generator testbed with a zonal distribution architecture. We will emulate the control system on-board the USCGC Escanaba, but will also compare relevant dynamics and time constants of the testbed with those of a typical DDG-51 plant. The hardware emulator will support scale experiments with both ac and dc power distribution at scale levels. A simulation model of the generator will be developed. The goal of this work is to support the “Red Team” challenge activity. It is also intended to provide a hardware testbed for deploying the CBM as part of the zonal protection system on different NGIPS platforms. ESRDC Year 2010 Work Plan James Kirtley, Chrys Chryssostomidis Contra-Rotating Propulsion Motor In anticipation that a pair of propellers rotating in opposite directions may be more efficient than a single propeller, thought must be given to building a propulsion motor that is compatible with contra-rotating shafts. At first, this seems to be a good option: electric machines are torque producing devices and so produce power roughly in proportion to their rotational speed. A contra-rotating system should produce an air-gap velocity that is twice that of either shaft alone, and therefore twice the power. It seems reasonable that a single machine, sized for the same torque, could do the same job as each machine of two, each one driving one propeller of a contra-rotating pair. The implementation of such a system, however, has some interesting features. It involves at least one bearing between the inner and outer of two concentric shafts and either a seal between shafts or a ‘can seal’ motor. It also requires the ‘stator’ to be made rotatable and a set of slip rings and brushes to carry motor power to the ‘stator’. There must be structure for the additional rotating element. This study has two parts. One is an experimental element which would consist of modifying a commercial, off the shelf induction motor, mounting the stator on bearings and supplying slip rings and brushes, and providing bearings and, likely, a seal between the two shafts, mating this up with an experimental contra-rotating propeller pair and testing it in a water tunnel or tow tank. The other part consists of estimating the size and efficiency advantage of the drive motor, taking into account the additional structure required slip rings, etc. MIT ESRDC Year 2010 Work Plan Michael Triantafyllou Power System Modeling, Simulation, and Validation Over the next year, we plan to fully develop the electric ship models and then proceed to use them for applications in design, control, and reconfiguration: (a) We will continue the development of comprehensive propeller models so as to assess the feasibility of using high-speed propellers with high speed motors. Issues of hydrodynamic performance and cavitation will be addressed, while full-system simulation will exhibit the benefits of the new system configuration. MIT ESRDC YEAR 2010 WORK PLAN 2 (b) We will verify the maneuvering equations through extensive testing. We will include comprehensive models for rough seas so as to combine sharp-maneuvering with seakeeping, and we will assess the performance in a stochastic sea environment. In particular, we will develop a nonlinear wave induced force model, parameterized by heading angle, so as to combine maneuvering with sea excitation and we will assess stability issues. (c) We will impose transient loads simultaneously with maneuvering and will provide a probabilistic assessment of performance. We will continue our work on developing effective control schemes at the system level. (d) We will continue our work of compact representation of stochastic sensitivity, including sensitivity to large amplitude perturbations, and we will apply the methodology to control system design and reconfiguration. MIT ESRDC Year 2010 Work Plan Mirjana Milosevic Marden, George Karniadakis, James Kirtley An End-to-end MVDC Simulator for the AES Integrated Power System The first phase of the work will involve the development of computer models to allow trading off different, integrated-power-system scalable architectures at the early stages of ship design. Our focus will be on the MVDC architectures. Specifically, we will consider two levels of power, namely the Purple team design (small scale) and also the Red Team design (full scale). To this end, we will first consider the generation system assuming a hypothetical load consisting of a resistor. Subsequently, we will model the propulsion system assuming an ideal DC voltage source. After we verify and validate these two sub-models we will integrate them in order to create an end-to-end MVDC simulator that also includes a detailed turbine model as well as detailed hydrodynamics. This integrated simulator will be similar to the AC end-to-end simulator already developed at MIT in the past years. The new technical challenges are the design of robust controllers for power electronics interface (converters, inverters & rectifiers) using detailed models. Sensitivity analysis will be performed both at the component but also at the system levels using polynomial chaos methods. A key issue related to stability in the MVDC system is the use of “energy storage” to maintain power balance; a possible solution is the use of additional generator(s). In the case of multiple power sources (generators & storage devices), control of parallel connected rectifiers that interfaced the power generation unit with the DC bus becomes challenging. Specific tasks will include resolution of such performance and stability issues and validation, when possible, with measurements available from the Red and Purple teams. ESRDC Year 2010 Work Plan Julie Chalfant, Chrys Chryssostomidis, James Kirtley Architectural Model to Enable Power System Tradeoff Studies One project is the continued development of an overall architectural model for an all-electric ship including a fully-integrated simulation of electrical, hydrodynamic, thermal, and structural MIT ESRDC YEAR 2010 WORK PLAN 3 components of the ship operating in a seaway. The goal of this architectural model is to develop an early stage design tool capable of performing tradeoff studies on concepts such as AC vs. DC distribution, frequency and voltage level, inclusion of reduction gears, energy and power management options, and effect of arrangements and topology. The results of the tradeoffs will be presented in standard metrics including cost, weight/stability, volume, efficiency/fuel consumption, reliability and survivability. We will specifically look at the hull, mechanical and electrical (HM&E) systems that support the ship and its missions; specifically, the electrical generation and distribution system, propulsion equipment, fresh- and saltwater pumping and distribution, control systems, and structural components. To date we have created a basic design tool which uses hullform, drive train particulars, and operational employment of the vessel to determine resistance, powering and fuel usage. Our next planned step is to include a detailed electrical distribution system to more completely analyze the effects of changes (e.g. frequency, voltage level) in terms of the metrics described above. This analysis will include not only the connection diagrams of the system components but also the location, weight and volume of the components and the interconnecting cabling. Indeed, the cost, weight, volume, efficiency, electrical load, thermal load, and reliability of every piece of equipment is included in the analysis as applicable. The zonal placement of the equipment and the interconnections will contribute to the survivability of the systems in face of damage. MIT ESRDC YEAR 2010 WORK PLAN 4