An Agent-Based Model Applied to Brazilian Wind Energy Auctions
Keywords:
agent-based, wind energy auction, energy regulation, energy pricingAbstract
This article, for the first time, adopts the agent-based model simulation technique to analyze the pricing process of energy in Brazilian electricity market (auctions). In this paper, auctions of new and reserve energy of wind power are simulated. In this model, it is possible to compare the choice of bids from participating sellers in the auctions, categorized in two different groups: public and private companies. The agents (sellers) participating in the auctions learn from the simulated auctions that is regulated by Brazilian government. Learning is determined through the usage of a variation of the Q-learning algorithm, which provides the sellers the optimal price-bid considering conditions presented, which means that this price-bid will provide them the maximum reward possible. The results clearly show the average price difference between both generator profiles. In addition, it is possible to state that the price of energy changes due to the relative