- Evaluating the efficiency of electricity markets requires structural and behavioral evaluation of the markets over the time. An electricity market is a complicated and dynamic environment due to a set of restrictions such as instantaneous balance of generation and consumption, transmission network constraints, interactions between market participants and low sensitivity of demand to electricity price changes. In recent years, presence of renewable plants such as windfarms has increased complexities of electricity markets operation due to their power generation uncertainties and their increased penetration in the market. Hence, evaluating the efficiency of the electricity market requires new tools and approaches. Market power assessment is one of the most important parts in electricity markets monitoring and assessment. In this thesis, market power in a pool based electricity market in a short time horizon is studied. Day ahead and real time markets are modeled in the presence of wind power plants. Two different pricing strategies, namely strategic and price taking strategies are considered for the wind power generation. The risk policies of market players are taken into account by means of fuzzy tools. In this thesis, an extended In the first step, an enhanced In the numerical results section, in the first step, the performance of the simulation system is evaluated by comparing it with the Agent-based simulation of the Q-Leaning Agent, as well as a performance test on a three-bus power system. Then, several test cases are designed to examine the impact of different power system and electricity market characteristics such as transmission line outages, the location and size of the wind power plants, the strategic or price taker behavior of wind power plants, the collusion between traditional and wind power plants, and finally, locational and spatial correlation between wind power production and market power. The numerical results, on a three-bus and a 24-bus test systems, acknowledge the ability of the proposed model in market power assessment. Keywords : Electricity Market, Market Power, Agent-base Simulation, Wind Generator, Extended Classifier Systems
