Power system modeling method and system, readable storage medium and server

Abstract

The invention discloses a power system modeling method and system, a readable storage medium and a server. The method comprises the following steps: constructing a single equipment external characteristic model based on a feedback fusion mode; connecting the devices according to the power grid topological structure and the line parameters to form a power system wiring diagram; constructing a power system model driven by mechanism data fusion based on a single equipment external characteristic model of connecting the equipment on the basis of the power system wiring diagram; and performing system simulation by using the fusion-driven power system model, and performing online updating according to real-time data. According to the method, rich physical knowledge accumulated in the development process of a power system and huge historical data accumulated due to digital construction of a power grid are fully utilized, the defects that a single modeling method is contradictory in complexity and accuracy, lacks interpretability and the like are overcome, and the real-time performance of the power grid can be improved through operation data collected by a sensor. The power simulation system in one-to-one correspondence with the physical entities is constructed, so that faults and problems existing in the physical system can be predicted and detected more quickly and more accurately.

Description

technical field [0001] The invention belongs to the technical field of power system simulation, and in particular relates to a power system modeling method, system, readable storage medium and server. Background technique [0002] Compared with the past, modern power systems have undergone tremendous changes in terms of power supply composition, grid scale, and load characteristics. With the access of renewable energy, the flexible use of active loads (such as electric vehicles, etc.), and large-scale regional interconnection, The power grid has evolved into a typical dynamic large-scale system with huge dimensions, which has stronger uncertainty, complexity and nonlinearity. In power system-related applications, analysis methods based on physical mechanism models have proven their effectiveness. Such methods can better adapt to changing application scenarios by analyzing problem mechanisms, extracting universal rules, and implementing control decisions. However, the mechan...

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Problems solved by technology

Such methods help to understand the characteristics of equipment and systems in historical operation by analyzing historical operation data, and support power grid operation situation awareness, assessment, and prediction; however, the performance of data-driven methods is highly dependent on the data Comprehension of knowledge and interpretation of results, the generalization ability of the model restricts the applicable scenarios

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