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In this paper, we simulate an electricity market with PHEV penetration by using agent-based modeling and simulation (ABMS). We model the PHEV users as agents which have unique decision making processes to plan their daily trips and determine their charging schedules. Moreover, we study the impact of different PHEV penetration levels on the power system. The electricity demand from PHEVs is supplied...
An analysis identifying future impacts on the electric power system due to additional load from plug-in hybrid electric vehicles (PHEVs) is presented. The operation of the electric power system in the western United States was simulated under a baseline scenario (i.e., without PHEVs) and three scenarios with PHEVs. The latter scenarios assumed different time periods throughout the day when PHEVs would...
This paper presents a security-constrained unit commitment (SCUC) algorithm which takes into account the intermittency and volatility of wind power generation. The UC problem is solved in the master problem with the forecasted intermittent wind power generation. Next, possible scenarios are simulated for representing the wind power volatility. The initial dispatch is checked in the subproblem and...
We discuss examples of implementations of agent-based simulation models in several European countries. Agent-based modeling and simulation (ABMS) is increasingly used as a tool to analyze power markets around the world and test the robustness of electricity markets and their underlying rules. The diversity of market designs, the complexities in their configurations with multitudes of participants,...
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