摘要：
The introduction of power electronic converters provides flexibility in the transformation of electrical energy such as ac-dc and dc-ac. For this reason, dc networks are becoming more popular in applications such as electric aircraft, navy ships, long distance power transmissions, and future microgrids in outer space. These systems are typically composed of multiple sources (ac or dc) and multiple loads (ac or dc) interconnected together through power electronics. In this work, modeling methods aimed at efficient real time simulation, stability analysis, and controller design for dc networks are presented. Real time simulation is a fundamental tool used in industry to test hardware and/or software without the need of the actual system. For example, Hardware-in-the-Loop (HIL) techniques are commonly used to test a control unit for a vehicle, power converter, etc. The increase in switching frequency of the power electronics (due to new devices such as SiC/GaN), decreases the time step needed to simulate these systems. For this reason, FPGAs are being commonly used for real time simulation. Nevertheless, the low level programming required introduces challenges in the modeling and implementation. Methods and algorithms are proposed to efficiently model the power devices including `on' characteristics. In addition, a discussion of machine simulation including saturation and its implementation in FPGA are discussed. The use of power electronics to deliver power to loads (e.g. motors, dc electronic loads, etc.) introduces a negative impedance effect as seen by the network. This effect can potentially cause instability problems in the system. These types of loads are commonly referred in literature as Constant Power Loads (CPLs). To study the stability of dc networks with CPLs, a method is proposed based on Linear Matrix Inequalities (LMIs) and Semidefinite Programming (SDP). The advantage of the proposed method relies on the use of static feedback without the need of knowi
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