In this master’s thesis, we address the reduction of the power network, which is crucial for enhancing the efficiency of network analyses and simulations. By reducing the complexity of the network model, we preserve key characteristics while simplifying computational processes and decreasing data processing time. The aim is to develop a method that enables accurate and reliable network reduction, maintaining its stability and capacity, essential for the further development and optimization of power systems.
The ENTSO-E model has been growing more detailed over the years, leading to more complex models with reduced convergence in power flow calculations. This thesis explores the potential for simplifying this model using the Network Reduction module in DigSILENT’s PowerFactory software.
The thesis focuses on the application of the PowerFactory module to reduce the power network model, aiming to minimize power flow errors on Slovenian cross-border lines. The goal is to create a simplified model that enables faster and more efficient calculations in multi-scenario network planning analyses. Such a model would allow AC power flow calculations, as well as insight into voltage levels and reactive power flow values, thus contributing to more reliable long-term network planning.
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