## 1 Introduction  
Through a sustainable quest for greater efficiency and reduced environmental impact in the production, storage, and transmission of electricity, ongoing efforts encompass research, pilot projects, and the exploration of novel technologies aimed at enhancing overall efficiency. Electricity generation by more sustainable means is growing exponentially with the environmental policies adopted by several countries and organizations [1]. With the growing demand for more sustainable energy generation, solar and wind, for example, face a common problem, which is seasonality or the continuity of production. With this seasonality, energy production ends up being divided into periods, so we have a great potential to generate energy for a certain period and a shortage during other periods. Because of this, technologies used to store surplus energy and make it available during lower-production times are important to enhance the most sustainable energy production. Thus, in the future, storage energy systems will be part of the characterization of electric energy, in addition to already known generation, transmission, and distribution systems. Different types of electrical energy storage systems (ESS) have been under study in recent years. Presently, some are more feasible than others when solely considering technical and cost analyses. The presumed benefit of exclusively applying technical-economic analysis to establish the viability of one ESS over another is the simplification of the decision-making process. Nevertheless, there are multiple drawbacks to neglecting the examination of their social and political origins, which may only become apparent in the long run. This paper seeks to improve the method of choosing ESS for a specific region, including the technical-economic factor, as well as environmental, social, and political dimensions. This method, considering these four dimensions, comes from the analysis of complete costs initially applied to the integrated planning of energy resources (IRP), which was improved to aid decision makers in choosing the best energy resources to be used primarily in a specific region. Due to the nature of the analysis of energy resources and energy storage being somewhat different, some attributes and subattributes contained in the dimensions needed to be adapted (some created and others excluded), bringing a greater adherence to this new application. This methodology attempts to cover all the elements that are essential to characterize the means of energy storage with the attributes and subattributes of the four main dimensions. These attributes are distributed within the dimensions as branches according to the level of importance that they have in the final characterization (first level: attributes; second level: subattributes; third level: sub-subattributes, etc.). Specifically, for this study, a mixed ESS method is used, given the V2G nomenclature. With the increase the use of electric vehicles (EVs), concerns with respect to increased energy consumption have become worrying. Therefore, studies on how to mitigate these impacts may be very important. V2G offers a solution for the storage of surplus energy. With growing concerns about sustainability, solutions to environmental impacts have been of great importance. The use of hybrid and electric cars has been increasing in the world market due to this sustainable movement. Some countries and regions have incentives and public policies for the insertion of electric cars, including China, Europe, and the USA [2]. An electric vehicle has a battery as its energy source, which is charged through the electrical network. To use this asset for energy storage and transportation, the V2G aims to use the battery not only for locomotion in the vehicle but also as a generator, discharging accumulated energy back into the network [3; 4]. V2G aims to enhance seasonal generation methods with the use of batteries in cars.