Implementation Of Particle Swarm Optimization To Optimize Parameters Of VSC- HVDC In The Aim Of Improving The Frequency Stability

The use of Renewable Energy Sources (RES) and High Voltage Direct Current (HVDC) technology is becoming increasingly common due to their advantages. However, RES have inherent characteristics such as low inertia and intermittency, which can negatively impact the stability of grids. In contrast, HVDC technology has been shown to improve grid stability. This paper demonstrates this improvement using simulation results from the 39-bus New England grid under different scenarios. Additionally, to enhance system reliability, the Particle Swarm Optimization (PSO) technique has been proven effective in determining parameters of the Voltage Source Converter (VSC) of an HVDC system. By comparing simulation results of the grid under various circumstances, the authors gained a comprehensive and accurate understanding of the system's operation. The PSO algorithm was implemented using Python and the DigSilent PowerFactory simulation software, making it easily applicable in practical settings.