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Identification of the polish power exchange based on the data related to the day-ahead market

机译:基于与日前市场相关的数据的识别波兰电力交换

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The work contains selected results of research related to identification modelling of the Polish Power Exchange (Towarowa Gie?da Energii Elektrycznej S.A. - TGEE) obtained in MATLAB and Simulink using the System Identification Toolbox and Control System Toolbox. In order to obtain a parametric arx model of the Polish Power Exchange identification was performed using data for the first half year of 2015 (184 days), i.e. for 24 input quantities related to the volume of supplied and sold electrical energy (ee) in each hour of the 24-hour day as well as for individual output quantities related to average prices of supplied and sold ee in consecutive hours of the 24-hour day. 24 discrete parametric models of MISO type were obtained, followed by their transformation into continuous parametric models, and, further, into continuous models in state space. The research was conducted in order to find out whether it was possible to generate a model of the Polish Power Exchange (TGEE) and a metamodel based on the changes of the values of the elements of the model in consecutive hours of the 24-hour day. As a result, changes of elements of matrix A related to changes in the internal organization of the system and selected elements of matrix B related to the change of the control level were analysed. Also, an attempt to analyse the obtained results including state variables was made.
机译:这项工作包含选定的有关波兰电力交易所的辨识建模研究成果(Towarowa GIE达Energii Elektrycznej S.A. - TGEE)使用系统辨识工具箱和控制系统工具箱在MATLAB和Simulink获得。为了获得波兰电力交易识别一个参数ARX模型是使用数据的2015(183天)上半年,即用于在每个相关于提供和出售的电能量(EE)的体积24倍输入量进行在一天24小时的时间,以及相关在一天24小时连续小时供应和销售EE的平均价格个别输出量。得到MISO类型的24个分立的参数模型,随后它们转化为连续的参数模型,并进一步到状态空间连续模型。该研究以找出是否有可能产生波兰电力交易所(TGEE)和元模型的基础上,模式在一天24小时的连续小时的元素的值的变化的模型进行。其结果是,与在系统的内部组织和变化相关的对照水平的变化矩阵B的选择的元素矩阵A的元素的变化进行了分析。另外,有人分析得到的结果,包括状态变量的尝试。

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