Mohammadreza Asghari Oskoei; Farhad Fallahi; Meysam Doostizadeh; saeed Moshiri
Abstract
With increasing competition in the wholesale Electricity markets and advances in behavioral economics in recent years, the multi-agent modeling approach has been applied widely to simulate the outcome of the markets. The electricity market consists of power generating agents that compete over production ...
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With increasing competition in the wholesale Electricity markets and advances in behavioral economics in recent years, the multi-agent modeling approach has been applied widely to simulate the outcome of the markets. The electricity market consists of power generating agents that compete over production in daily auction conducted by an independent system operator (ISO). The market clearing mechanism can be seen as a static game that repeats every hour. In this game, an agent proposes her price for the next day and the ISO chooses the best proposals that minimizes the total costs given the demand and the technical constraints. Agents are also assumed to learn from the outcomes and adjust their biding strategy accordingly. In this paper, we develop an agent-based model for the day-ahead and pay-as-bid electricity market in Iran. The objective is to compare the outcome of the market measured by the agents profit and the time to converge using three different strategies: greedy, random and reinforcement learning. The simulation results indicate that the reinforcement learning leads to higher profits with a faster convergence rate than the other two strategies.
Jamshid Pajooyan; Teimour Mohammai; Faramarz Atbaei
Volume 3, Issue 11 , July 2014, , Pages 91-130
Abstract
System marginal price auction and pay as bid auction are common auctions in electricity markets. The present article discusses the impacts of selecting between different common auctions in electricity markets (system marginal price auction and pay as bid auction) on production efficiency, total efficiency ...
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System marginal price auction and pay as bid auction are common auctions in electricity markets. The present article discusses the impacts of selecting between different common auctions in electricity markets (system marginal price auction and pay as bid auction) on production efficiency, total efficiency and average expected price in an asymmetric information situation, where each player’s information about the marginal cost of the competitor is incomplete. A model is designed to conduct the comparative study of alternative auction mechanisms. The model is based on two profit maximizing players, with full information about their marginal cost and incomplete information about their competitor. Assumptions which has been used to construct the model are based on Iran’s electricity market structure. The outcome indicates that although production efficiency in alternative auction mechanism do not differ from each other, expected price under system marginal price auction is lower than pay as bid mechanism. Vice versa occurs in total efficiency.
