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

机译:根据日前市场相关数据识别波兰电力交易所

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The work contains selected results of research related to identification modelling of the Polish Power Exchange (Towarowa Giełda 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:该工作包含使用系统识别工具箱和控制系统工具箱在MATLAB和Simulink中获得的与波兰电力交易所(TowarowaGiełdaEnergii Elektrycznej S.A.-TGEE)的识别模型相关的研究成果。为了获得波兰电力交易所的参数化Arx模型,使用2015年上半年(184天)的数据进行了识别,即,与每个供应和销售的电能(ee)的数量有关的24个输入量24小时工作日的小时数,以及与24小时工作日连续小时所供应和出售的ee的平均价格有关的单个产量。获得了24个MISO类型的离散参数模型,然后将其转换为连续参数模型,进而转换为状态空间中的连续模型。进行研究是为了找出在一天的24小时连续几小时内,基于该模型的元素值的变化是否可以生成波兰电力交易所(TGEE)的模型和元模型。结果,分析了与系统内部组织的变化有关的矩阵A的元素的变化以及与控制水平的变化有关的矩阵B的所选元素。另外,尝试分析包括状态变量的获得的结果。

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