Automatic Analysis with PSCAD/EMTDC for Power Systems with High Shares of Renewables and Power Electronics

Accurate and stable testing of power system models is crucial for studying high shares of renewables and power electronics power systems. However, traditional manual testing methods are time-consuming, labor-intensive, and prone to human errors. To address this issue, an automated testing method is proposed for power system models. The method consists of three stages: scenario generation and simulation, simulation data processing, and test report generation. In the scenario generation and simulation stage, a large number of scenarios are generated based on different short circuit ratios, fault buses, fault types, control loops, control loop parameters, and parameter values. By utilizing the Python interface provided by PSCAD/EMTDC, the parameters of the power system model are automatically read and set, and a series of test tasks are executed, enabling fast, accurate, and reliable automated testing of power system models. To handle the generated simulation data, an automated method is proposed for fault data acquisition, dynamic curve plotting, and feature data extraction. Computer technology and data processing algorithms are leveraged to automatically analyze and evaluate the test results and generate detailed simulation test reports in this method. Additionally, the method reduces the overall runtime by adopting the fast initialization of simulation using PSCAD/EMTDC snapshot files in the scenario generation and simulation stage, which eliminates the need for system initialization, thereby improving development and execution efficiency.