On Evolutionary and Swarm Computation for Solving the Dynamic Economic Dispatch: a Rapid Review

Omar Andres  Carmona Cortes; Daniel  Lima Gomes Junior; Osvaldo Ronald  Saavedra

doi:10.48011/asba.v2i1.1513

Omar Andres Carmona Cortes Departamento de Computação, Instituto Federal de Educação, Ciência e Tecnologia do Maranhão
Daniel Lima Gomes Junior Departamento de Computação, Instituto Federal de Educação, Ciência e Tecnologia do Maranhão
Osvaldo Ronald Saavedra Instituto de Energia Elétrica, Universidade Federal do Maranhão

DOI: https://doi.org/10.48011/asba.v2i1.1513

Keywords: Metaheuristics, Dynamic, Economic dispatch, Optimization

Abstract

The Dynamic Economic Dispatch problem is an essential and challenging optimization problem in the field of power dispatch. Several techniques have been investigated for its optimization, especially metaheuristics. This rapid review focuses on evolutionary and swarm computation, focusing on 22 research publications for solving the single objective DED problem. Through this review, we discuss the techniques that have been used to solve the problem and how they tackled the DED constraints. We analyze the problem's complexity, showing if the problem being solved considers the valve effect, transmission losses, ramp rates, prohibited zones, and reserve spinning requirements. Also, we investigate the number of units used in each case study. Therefore, we believe that this review is relevant for driving researchers interested in using evolutionary algorithms or swarm intelligence to tackle the DED problem in all its complexity and how the proposed algorithms deal with constraints.