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It is important to select an appropriate uncertainty level of the wind power forecast for power system scheduling and electricity market operation. Traditional methods hedge against a predefined level of wind power uncertainty, such as a specific confidence interval or uncertainty set, which leaves the questions of how to best select the appropriate uncertainty levels. To bridge this gap, this paper...
It is important to select an appropriate representation of wind power uncertainty for unit commitment (UC). Unlike previous studies predefining the scope of uncertainty, this paper presents a method to co-optimize wind power uncertain intervals and unit commitment. The proposed method is aiming to select the optimal wind power uncertain intervals and achieve the optimal trade-off between economics...
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...
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