Constrained search space selection based optimization approach for enhanced reduced order approximation of interconnected power system models.

Metaheuristic search-based optimization strategies have recently emerged to obtain approximated models for interconnected complex power systems. However, these algorithms are frequently criticized for randomly selecting lower and upper search space boundaries and taking longer to simulate. The incorrect selection of suitable boundaries for each unknown decision variable may result in an inaccurate or unstable reduced model.