Analysis of Short-term Bidding Strategies in Power Markets
作者:
Pablo Frezzi, Student Member, IEEE, Francisco Garcés, and Hans-Jürgen Haubrich, Member, IEEE
所属专业方向:
Power Markets
摘要:
Abstract—Markets with signs of concentrations, interactions,
barriers to entry/exit and coordination among participants are
particularly prone to evidence tacit collusion. The liberalized
power markets fulfill largely these conditions and they are
therefore susceptible to suffer tacit collusion. An approach
capable of analyzing such strategic behavior in power markets
and quantifying it economically appears to be necessary. In this
article, an agent-based model is proposed to analyze how market
participants can learn tacitly collusive behavior. The competition
among market participants is modeled as a repeated game with
imperfect public information. Reinforcement learning is applied
to model the flexible and adaptable behavior of the market
participants. A test system with different levels of market
concentration is used to quantify economically the relation
between the market concentration and the exercise of tacit
collusion. The effect of transmission constraints on the incentives
to exercise tacit collusion is also analyzed.