Nonlinear congestion management problem is solved using Hybrid Nelder–Mead – Fuzzy Adaptive Particle Swarm Optimization (HNM-FAPSO).

Congestion is managed by rescheduling generators and sensitive generators are selected based on Apparent Power Sensitivity Factor (APSF).

The congestion cost, rescheduled real power, power loss and computation time are less using HNM-FAPSO.

The feasibility and performance of the HNM-FAPSO algorithm is compared over other algorithms like FAPSO, NM, SBF, ABFNM, GA and S-PSO.