Research on Simulation System of Intelligent Converter Station Based on Digital Twin

DC transmission undertakes the important task of power transmission and cross-regional networking in large energy bases. Based on digital twin technology, this paper built an overall visual converter station simulation system, aiming to study and analyze the digital development of converter stations. The design and function development were conducted through 3ds Max and Unity3D, including simulation of robot inspection, simulation of special faults, etc. A LOF-LSTM-based combined prediction model was added to predict the concentration of dissolved gas in transformer oil to improve the prediction accuracy. The simulation analysis added to the system can perform multi-hypothesis deduction on the entity converter station and provide rationality analysis for the actual decision-making instruction issuance.