Work

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

Year: 2024

Type: conference-paper

Abstract: 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.

Source: IEEE PES Innovative Smart Grid Technologies Europe

DOI: 10.1109/isgteurope62998.2024.10863140

Authors: Nguyen Hung Cuong, Tran Quoc Tuan, Yvon Besanger

Institutions: Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Laboratoire d’Innovation pour les Technologies des Énergies Nouvelles et les nanomatériaux, Université Grenoble Alpes, Institut National de l'Énergie Solaire, Institut polytechnique de Grenoble

Language: English

Topic: HVDC Systems and Fault Protection

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

Funders: European Commission, Horizon 2020 Framework Programme