风电和电动汽车概率参与的随机市场出清模型

N. Neyestani, F. Soares, J. Iria
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引用次数: 2

摘要

本文提出了具有概率参与者的电力市场随机出清问题的混合整数线性规划模型。假设市场不确定性的来源来自发电侧和需求侧。风力发电机组和电动汽车集线器是系统中的不确定性源。为了补偿随机参与者的可能偏差,将提供灵活的发电和需求来激活备用。两阶段模型既考虑了日前成本,又考虑了不确定参与者的概率行为所带来的预期平衡成本。采用基于场景的方法对概率参与者进行建模。该模型对市场进行随机出清,结果讨论了在市场中引入各种不确定性和灵活性资源所获得的较低成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic market clearing model with probabilistic participation of wind and electric vehicles
In this paper, a mixed-integer linear programing (MILP) model for the stochastic clearing of electricity markets with probabilistic participants is proposed. It is assumed that the sources of uncertainty in the market comes both from generation and demand side. The wind generating unit and electric vehicle aggregator are the supposed sources of uncertainty in the system. For the compensation of probable deviation of stochastic participants, flexible generation and demand will offer for the reserve activation. The two-stage model takes into account the day-ahead cost as well as the expected balancing costs due to probabilistic behavior of uncertain participants. A scenario-based approach is used to model the probabilistic participants. The proposed model stochastically clears the market and the results discuss the lower costs obtained by incorporating various resources of uncertainty and flexibility in the market.
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