Fuzzy-based real-coded genetic algorithm for optimizing non-convex environmental economic loss dispatch

A non-convex Environmental Economic Loss Dispatch (NCEELD) is a constrained multi-objective optimization problem that has been solved for assigning generation cost to all the generators of power network with equality and inequality constraints. The objectives considered simultaneous are emission, economic load loss dispatch. valve-point loading, prohibiting operating zones ramp rate limit issues have also taken into consideration in generator fuel cost. tri-objective transformed single objective function via price penalty factor. NCEELD simultaneously optimized using fuzzy based real-coded genetic algorithm (GA). proposed technique determines best solution from Pareto optimal set on highest rank. efficacy projected method demonstrated IEEE 30-bus three six generating units. attained results compared existing found superior terms finding best-compromise over other methods such as GA, particle swarm optimization, flower pollination algorithm, biogeography-based differential evolution. statistical analysis carried out convex problem.