EVALUATING DYNAMICS IN CONVERTER DOMINATED POWER SYSTEMS: AN RMS AND EMT SIMULATION APPROACH
Date
2024
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The transition from conventional power systems to converter-based microgrids has fostered advancements in sustainability, clean energy, and enhanced reliability. However, this shift also introduces significant challenges, originating from the intermittent behavior of renewable energy sources and the nonlinear properties of the power electronics, requiring dynamic models to simulate system behavior in real-time and ensure stability and reliability during fluctuations. Additionally, power electronics introduce nonlinear dynamics that can lead to issues such as voltage fluctuations and harmonic distortions. Dynamic modeling aids in predicting these effects and developing strategies to maintain system stability, particularly in managing voltage and frequency regulation, where traditional synchronous machines provide inertia. Dynamic modeling also enables the optimization of microgrid design and the evaluation of system resilience during disturbances. In this research, the dynamics of a converter-based microgrid were evaluated using Root Mean Squared (RMS) and Electromagnetic Transient (EMT) simulation techniques. The studied microgrid was modeled dynamically using the proposed method in DIgSILENT PowerFactory software. The simulated data for current, voltage, and instantaneous power were compared with recorded data collected from three locations in the microgrid using SEL 735 meters. The findings indicated that EMT and RMS simulations effectively captured the microgrid’s dynamic behavior, demonstrating their superiority as dynamic modeling approaches.
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Electrical engineering, Converter-dominated, Dynamic modeling, EMT & RMS, Microgrid, Power Systems
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63 pages
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