Brazilian energy auctions analysis based on Evolutionary Algorithms

After the Electricity Market Restructuring, occurred from 2004, the distribution companies (DISTCOS) in the Brazilian Energy Market must meet their expected load through regulated contracts, made in regulated auctions. These contracts are classified accordingly to its origins, New Energy or Existing Energy, and to the beginning of supply. New Energy comes from generators that are not yet constructed, aiming at estimulating long-term contracts, while Existing Energy represents generators under operation. DISTCOS must choose between those contracts so it is of great importance a computational tool that helps agents to have an optimal portfolio. Additionally, they must learn from their experience, represented by their participation in previous auctions. This work presents a new methodology using Evolutionary Algorithms, that uses genetic operators such as selection, mutation, and inheritance, in order to determine the amount of energy to be contracted in each kind of auction, taking into account the results of previous auctions.