Reactive power compensation in hybrid energy systems: FOPID-controlled UPFC with modified osprey optimization algorithm

A novel way to boost reactive power compensation performance in a hybrid energy system (HES) containing solar panels, wind turbines, and a diesel generator is presented in this paper. The study combines a Unified Power Flow, a Fractional Order PID (FOPID) controller, and a modified version of the Osprey Optimization method. A comparative analysis of optimization algorithms indicates that modified Osprey Optimization algorithm (MOOA) outperforms Grey Wolf Optimizer (GWO) and Cuckoo Search Algorithm (CSA), highlighting its efficiency in obtaining convergence and optimizing system parameters. Overall, the study emphasizes the efficacy of the proposed HES model, advanced control strategies, and optimization techniques in addressing the complex challenges of modern power systems, as well as delivering a promising path towards more sustainable, reliable, and efficient energy alternatives. The FOPID controller, with Unified Power Flow Controller (UPFC) and Modified Osprey Optimization enlighten the way to a smarter approach in distributed generation.