Economic load dispatch using hybridized Differential Evolution and invasive weed operation

This article presents an efficient optimization approach to solve constrained Economic Load Dispatch (ELD) problem using a hybridized Differential Evolution (DE) and Invasive Weed Optomization (IWO) algorithm. The proposed method is found to give near optimal results while working with different operational constraints in the ELD, arising due to practical limitations like dynamic operation constraints (ramp rate limits) and prohibited zones. Both the convex characteristic and the non-convex characteristics of the fuel cost of the thermal generators have been considered. Simulations performed over various systems with different number of generating units with the proposed method and the results have been compared with other existing relevant approThis article presents an efficient optimization approach to solve constrained Economic Load Dispatch (ELD) problem using a hybridized Differential Evolution (DE) and Invasive Weed Optomization (IWO) algorithm. The proposed method is found to give near optimal results while working with different operational constraints in the ELD, arising due to practical limitations like dynamic operation constraints (ramp rate limits) and prohibited zones. Both the convex characteristic and the non-convex characteristics of the fuel cost of the thermal generators have been considered. Simulations performed over various systems with different number of generating units with the proposed method and the results have been compared with other existing relevant approaches.aches.