Research on Evaluation Method for Grid-Connected Capability Indicators of Offshore Wind Power Based on Multi-source Measurements

The large-scale integration of offshore wind farms (OWFs) into the grid necessitates accurate assessment of their grid connection capability due to the dynamic complexity and randomness of their operation. This paper proposes a multi-source measurement-based evaluation method for OWF grid integration capability, employing the coefficient of variation and technique for order preference by similarity to ideal solution (TOPSIS). A comprehensive performance index system is established, encompassing dynamic reactive power support, SVC/SVG response, active power control, power factor, and grid voltage deviation. Dynamic weighting and comprehensive evaluation are implemented. Validated on three OWFs of varying capacities in a Chinese coastal region, the method effectively quantifies grid connection capability. Weight distribution highlights dynamic reactive power support (31.2%) and power factor (19.3%) as critical indicators. The comprehensive evaluation ranking (C > A > B) aligns with grid operation assessments and exhibits 12.6% higher sensitivity than the traditional entropy weight method. These results provide a scientific basis for OWF planning, operation management, and active support technology optimization, supporting efficient clean energy utilization and stable grid operation under “dual carbon” goals.