Renewable Energy Integrated Economic Dispatch Using Intelligent Techniques: An Overview

Abstract

Nature-inspired and metaphor-less population-based computational techniques have gained tremendous importance for solving real-world constrained optimization complications during the last twenty years. This is due to their unconventional direct search mechanism, ease of application and non-dependence on the mathematical nature of objective function. Amongst the various engineering optimization problems, the economic dispatch (ED) is one of the most important problems which has been addressed using a large number of these techniques. In power system operation, ED has a special place and therefore this topic has received immense attention from researchers. With changing operational philosophies and technological advancements, the ED problem formulation has undergone many changes over the years. Beginning with simple and approximate models, various different practical constraints were integrated into the classical ED problem over time, the latest being integration and modelling of the renewable energy (RE) sources. The paper presents a review of different metaheuristic techniques proposed for various types of ED problems with renewable energy integration based on the last decade.