2 research outputs found

    Multi-rate real-time simulation of modular multilevel converter using CPU and FPGA

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    This thesis presents the real-time simulation of a modular multilevel converter (MMC) using Field Programmable Gates Array (FPGA). Undertaking such a project raises challenges due to the very high number of components in MMC. The choice of the hardware used is justified by this particular problematic. Using FPGA, a very large number of inputs and outputs can be easily managed. By simulating the converter on FPGA reduces latency and the delays between the IOs and the MMC. It also allows using very small time-step ensuring accuracy for pulses detection. Only the converter is simulated on FPGA and the remaining component of the simulation, such as the AC system and its distribution network are simulated on CPU. Doing so gives the user access to large library of component from commercial software. Using two distinct platforms, CPU and FPGA, then requires the model not only to be decoupled, but also to use different sampling time. This thesis debuts by a presentation of the problematic. Then, the required sampling time for accurate simulation of MMC is demonstrated. In order to achieve such a small time-step, a decoupling method and its validation is proposed. The method is then generalized and applied to multi-rate simulation. Using those methods, a details implementation of the converter, using OPAL-RT technologies real-time simulator, is given. Finally, numerical and experimental validation of this model are presented

    Creating a Network Model for the Integration of Dynamic and Static Supervisory Control and Data Acquisition (SCADA) Test Environment

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    Since 9/11 protecting our critical infrastructure has become a national priority. Presidential Decision Directive 63 mandates and lays a foundation for ensuring all aspects of our nation\u27s critical infrastructure remain secure. Key in this debate is the fact that much of our electrical power grid fails to meet the spirit of this requirement. My research leverages the power afforded by Electric Power and Communication Synchronizing Simulator (EPOCHS) developed with the assistance of Dr. Hopkinson, et al. The power environment is modeled in an electrical simulation environment called PowerWorld©. The network is modeled in OPNET® and populated with self-similar network and Supervisory Control and Data Acquisition (SCADA). The two are merged into one working tool that can realistically model and provide a dynamic network environment coupled with a robust communication methodology. This new suite of tools will enhance the way we model and test hybrid SCADA networks. By combining the best of both worlds we get an effective and robust methodology that correctly predicts the impact of SCADA traffic on a LAN and vice versa. This ability to properly assess data flows will allow professionals in the power industry to develop tools that effectively model future concepts for our critical infrastructure
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