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Modeling and Control of Power Electronics Based DC Networks

Herrera, Luis Carlos
http://rave.ohiolink.edu/etdc/view?acc_num=osu1437721461

Abstract Details

2015, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
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 knowing the load power and/or its derivatives. Lastly, the modeling, simulation, and control of High Voltage DC Networks is presented. In these systems, Modular Multilevel Converters (MMCs) are typically used as an interface between the ac and dc networks. These types of converters can utilize hundreds to thousands of switches. Therefore, the simulation, offline and real time, is a main challenge. In addition, the circulating current through each arm affects the power losses in the power devices and causes larger current and voltage stress on the passive components. In this case, a controller is proposed to eliminate this oscillation and a platform for efficient simulation of MMCs is developed. Real time simulation and HIL validation of the controller are presented.
Jin Wang (Advisor)
Longya Xu (Committee Member)
Mahesh Illindala (Committee Member)
138 p.
Electrical Engineering
Power electronics; Stability analysis; DC networks; HVDC; Modeling and simulation

Recommended Citations

Citations

  • Herrera, L. C. (2015). Modeling and Control of Power Electronics Based DC Networks [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437721461

    APA Style (7th edition)

  • Herrera, Luis. Modeling and Control of Power Electronics Based DC Networks. 2015. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1437721461.

    MLA Style (8th edition)

  • Herrera, Luis. "Modeling and Control of Power Electronics Based DC Networks." Doctoral dissertation, Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437721461

    Chicago Manual of Style (17th edition)

osu1437721461
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© 2015, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.