A Data-Driven Advisory Tool for Mixed-Generation Power Systems

Integrating diverse power generation sources calls for robust and innovative solutions harnessing the increasing availability of data. The automation of multi-scenario simulations offers profound insights into the complex dynamics of modern power grids. This paper presents a data-driven advisory tool providing a comprehensive framework for system planning and operation of power grids integrating synchronous generation and inverter-based energy resources. Key features include automating simulations and assessing operating conditions, making it a valuable asset for power system engineers and operators. Through extensive analysis and visualization functionalities, it empowers users with crucial information on critical system variables such as bus voltages, frequency, and stability metrics. The tool enhances the management of mixed-generation power systems and fosters sustainable energy integration. Furthermore, artificial neural networks are used to provide accurate and real-time stability analysis. The optimal placement of phasor measurement units to achieve system observability is also proven to be consistent with analytical studies in the literature.