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Addressing the impact of demand and generation cost uncertainties in the operation of power systems

机译:解决电力系统运行中需求和发电成本不确定性的影响

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This paper describes a set of mathematical formulations designed to include uncertainties modeled by fuzzy numbers in DC OPF studies. These approaches enhance and generalize an initial formulation and solution algorithm described in several papers co-authored by the second author. The approaches described in this paper adopt multiparametric optimization techniques in order to translate to the results the uncertainties affecting loads, for one side, the generation costs, for another, and also both of them in a simultaneous way. These approaches can be very useful nowadays given the uncertainties and volatility affecting data required to run several studies. They can also be the basis for the computation of nodal short time marginal prices reflecting these uncertainties. This paper also includes results obtained from a Case Study based on the IEEE 24 bus test system.
机译:本文介绍了一组数学公式,旨在包括在DC OPF研究中由模糊数建模的不确定性。这些方法增强和概括了第二作者共同撰写的几篇论文中描述的初始公式和求解算法。本文描述的方法采用多参数优化技术,以便将影响负荷的不确定性一方面转化为发电成本,另一方面又影响发电成本,并且同时将二者转化为结果。鉴于不确定性和易变性会影响进行多项研究所需的数据,因此如今这些方法可能非常有用。它们也可以作为计算反映这些不确定性的节点短时边际价格的基础。本文还包括从基于IEEE 24总线测试系统的案例研究中获得的结果。

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