Modeling method for variable operating condition characteristics of integrated energy system equipment based on segmented data fitting
A technology of integrated energy system and segmented data, which is applied in the field of modeling of variable working condition characteristics of integrated energy system equipment based on segmented data fitting, can solve problems such as large influence by bad points and segmental discontinuity, and achieve a solution Segment discontinuous, easy to use, adaptable effect
Active Publication Date: 2022-06-07
JIANGSU FRONTIER ELECTRIC TECH +2
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[0004] Purpose of the invention: In view of the above problems, the present invention proposes a modeling method for variable working condition characteristics of integrated energy system equipment based on segmented data fitting, using the L1 norm to represent the overall fitting error, and introducing the segmented point equation Coupling constraints can effectively solve the problems of segmental discontinuity and bad points that exist in traditional fitting methods
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[0034] The technical solutions of the present invention will be further described below in conjunction with the embodiments.
[0035] The method for modeling the variable working condition characteristics of integrated energy system equipment based on segmented data fitting according to the present invention includes the steps of:
[0036] (1) Obtain historical data of equipment with variable working conditions in the integrated energy system, including independent variables and dependent variables, such as the input electric power and output thermal power of electric boilers, and the input gas power and output electric power of gas turbines;
[0037] (2) Perform segmental data fitting on the historical data to obtain the characteristic parameters of the segmented fitting function;
[0038] (2.1) Perform K interval subsection fitting on historical data;
[0039] Taking the modeling of electric boiler equipment with variable working conditions as an example, the historical dat...
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The invention discloses a modeling method for variable working condition characteristics of comprehensive energy system equipment based on segmental data fitting, which can obtain historical data of variable working condition characteristic equipment of the comprehensive energy system; perform segmental data fitting on the historical data to obtain The characteristic parameters of the segmental fitting function; substituting the segmental characteristic parameters into each segmental fitting function to obtain a continuous segmental fitting function, which can realize the modeling of the variable working condition characteristics of the equipment in the integrated energy system. The method of the present invention uses the L1 norm to characterize the overall fitting error, and converts the global continuous segmental fitting problem into an optimization problem with absolute value calculation by introducing the coupling constraint of the segmental point equation, and then uses auxiliary variables to carry out Equivalent transformation, the continuous optimization problem without absolute value operation is obtained. The invention is easy to use, and can effectively solve the problems of segmental discontinuity, large influence by bad points and the like existing in the traditional fitting method.
Description
technical field [0001] The invention relates to a comprehensive energy system equipment modeling method, in particular to a comprehensive energy system equipment variable working condition characteristic modeling method based on segmented data fitting. Background technique [0002] In the process of equipment modeling in an integrated energy system, it is often necessary to obtain the implicit relationship between independent variables and dependent variables from historical equipment data to optimize equipment model parameters and achieve accurate modeling. The general practice is to use the method of data fitting to generate an approximate function to minimize the error between the fitted data and the original data. The historical data of equipment with variable working conditions often have multiple obvious local features. In the global definition domain, the data is divided into multiple intervals, and the data fitting method needs to be segmented. [0003] Among them, ...
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IPC IPC(8): G06Q10/04G06Q50/06G06F17/18
CPCG06Q10/04G06Q50/06G06F17/18Y04S10/50
Inventor 郑海雁邹磊邵恩泽吴正勇陈国琳方超王国际杨斌霍尧蒋雪冬汪超群
Owner JIANGSU FRONTIER ELECTRIC TECH