Clasificación de la literatura sobre BESS en niveles de adopción de Recursos Energéticos Distribuidos (DER) con enfoque en elementos de transformación

Abstract

This work provides a literary review and classification of the applications and characteristics of the articles that involve battery energy storage systems (BESS) in their methodology from the different approaches developed during the period (2009-2022) and a synthesis of the information collected. This classification is developed considering two axes: transformation elements (smart grid, energy storage, distributed generation, electric vehicles and response to demand) and levels of adoption of distributed energy resources (DER) (massive integration, medium and low). The objective of this work is to identify the relevant aspects, analyze the promising perspectives of the (BESS) and its applications according to the literature examined. After analyzing the classification table, the number of articles is identified according to their level of adoption and their transformation element, considering different factors (social, economic, political, technical and environmental) that affect it. The results of the review provide relevant information on the approach used by the authors and the amount of research on BESS according to the RED and transformation elements. When carrying out an analysis of the classification table, it is inferred that there is an insignificant amount in the demand response transformation element, specifically in the low and medium levels, finding few investigations, it is desired to contribute to the scientific literature and create a new study using demand response at the middle level, with a focus on the topic of resource optimization. This contribution is made by means of a genetic algorithm which will be used in two case studies that are an IEEE-33 node network and an IEEE 69-node network with the objective of optimizing costs by finding the loads that would represent the greatest economic benefits to the user. system by being attached to the voluntary disconnectable demand (DDV).