Renewable Energy-Based Economic Load Dispatch Using Two-Step Biogeography-Based Optimization and Butterfly Optimization Algorithm

Abstract

This article introduces a unified approach to solve economic load dispatch (ELD) problem of an integrated power system that comprise of traditional thermal power units and renewable sources of energy such as wind energy (WE) and solar photovoltaic (PV) sources; employing a two-step optimization method consisting of Biogeography Based Optimization (BBO) and Butterfly Optimization Algorithm (BOA). BOA imitates the mating and food search process of butterflies for solving the problems associated with global optimization. Nonlinear characteristics of thermal generators is considered in the problem. Weibull distribution is used for determining the uncertainness in availability of wind power and Lognormal PDF is employed for calculating the availability of solar power. The efficacy, robustness and supremacy of the two-step BBO-BOA (hBBO-BOA) technique, compared to various other approaches in literature, are demonstrated by the simulation results. The outcome is quite inspiring, indicates that proposed hBBO-BOA is an efficient approach in order to solve different ELD problems.