Development and Prospect of Stability Control Planning and Configuration Technology for Renewable Energy Bases Under Diversified Grid-Connection Scenarios

[Objective] Driven by the carbon peaking and carbon neutrality goals， large-scale connection of renewable energy into the grid has accelerated. Due to the diversity of grid-connection scenarios， hybrid control schemes combining grid-following （GFL） and grid-forming （GFM） converters are often adopted. However， detailed control configurations are typically not considered during the planning stage， where system stability is ensured only by reserving large safety margins， leading to suboptimal economic efficiency. How to scientifically configure the proportion of GFL and GFM converters in renewable energy bases according to specific grid-connection scenario requirements， optimize their deployment locations and control parameters， and achieve optimal stability performance of the grid-connected system has thus become a critical issue to be addressed in both engineering practice and academic research. [Methods] To tackle this issue， this paper proposes a phased technical framework for stability control configuration and provides a systematic review of related technologies. First， based on typical renewable energy base transmission projects and their operational characteristics， the stability control requirements under diverse grid-connection scenarios are quantitatively characterized. Then， the existing technological advances are reviewed according to three progressive phases： 1） optimization of grid structure and equipment composition， 2） selection and enhancement of control structures and capabilities， and 3） optimization of control parameters. In each phase， current research shortcomings and challenges are analyzed in depth. [Results] Finally， future key research directions are outlined in four areas： improving the usability of control requirement characterization， optimizing composition with consideration given to equipment nonlinearity and scenario diversity， quantifying control capability and expanding strategy selection， and systematically optimizing control parameters. This work aims to provide a reference for subsequent pathways of technological research and development in this field.