Resumo:
The electricity market, with the insertion of distributed energy resources into the system, moves towards becoming an intelligent market in the future. In this energy transition context, tech-nical, economic, and regulatory aspects must be reviewed, as well as new agents and business models must emerge. Balancing the conflicting interests of all agents involved is an increas-ingly complex task, and policy makers must seek an environment of healthy growth and matu-ration of the sector, in a sustainable manner, to reduce energy poverty and add greater value to society. Decision-making presupposes the existence of models that allow the future impacts of the measures under analysis to be considered and evaluated. Thus, this thesis proposes to use the socioeconomic model of the electricity market called Optimized Tariffing (TAROT), with the main objective of adding to it the representation of new agents and possibilities of transac-tions in this intelligent market to allow the analysis of socioeconomic welfare generated with the inclusion of these resources in the network. The modeling of costs associated with distrib-uted energy generation in distribution company finances, in addition to new agents, such as the aggregator, are the distinguishing features of this work. Based on the new proposed equations, an innovative scenario for the provision of ancillary services by prosumers to the utility network was evaluated. The application of the model was carried out using data from a Brazilian distri-bution company, and it was possible to verify, in addition to the effects on the main agents in the sector, the penetration levels of distributed energy resources that add value to society. Through the proposed model, it is possible to simulate different scenarios and their impacts on agents, thus proving to be an important tool to assist in decision-making by regulatory agents.
