Learning BDS receiver testing techniques in power systems through optimization algorithms for performance analysis and enhancement

Existing BDS receiver testing techniques employ fixed parameter setups that do not properly account for the intricate electromagnetic environments and operation limitations specific to electrical infrastructure applications, even though the latest power systems demand precise timing synchronism for reliable grid operations. By utilizing adaptive multi-objective optimization techniques developed specifically for power system scenarios, this research develops a comprehensive optimization-based improvement framework for BDS receiver testing methods. Three core elements constitute the methodology: a hierarchical performance assessment framework that integrates timing accuracy requirements unique to power systems, a hybrid particle swarm optimizer that employs adaptive parameter selection mechanisms.