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Fat Tail Model for Simulating Test Systems in Multiperiod Unit Commitment

机译:多周期单位承诺中模拟测试系统的胖尾模型

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This paper describes the use of Chambers-Mallows-Stuck method for simulating stable random variables in the generation of test systems for economic analysis in power systems. A study that focused on generating test electrical systems through fat tail model for unit commitment problem in electrical power systems is presented. Usually, the instances of test systems in Unit Commitment are generated using normal distribution, but in this work, simulations data are based on a new method. For simulating, we used three original systems to obtain the demand behavior and thermal production costs. The estimation of stable parameters for the simulation of stable random variables was based on three generally accepted methods: (a) regression, (b) quantiles, and (c) maximum likelihood, choosing one that has the best fit of the tails of the distribution. Numerical results illustrate the applicability of the proposed method by solving several unit commitment problems.
机译:本文介绍了使用Chambers-Mallows-Stuck方法模拟稳定的随机变量来生成测试系统以进行电力系统经济分析的方法。提出了一项研究,该研究致力于通过胖尾模型针对电力系统中的机组承诺问题生成测试电力系统。通常,单元承诺中的测试系统实例是使用正态分布生成的,但在这项工作中,模拟数据基于新方法。为了进行仿真,我们使用了三个原始系统来获得需求行为和热生产成本。用于模拟稳定随机变量的稳定参数的估计基于三种公认的方法:(a)回归,(b)分位数和(c)最大似然性,选择最适合分布尾部的一种。数值结果说明了该方法通过解决几个单位承诺问题的适用性。

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