Distributed three-dimensional simulation training system for regional power system transformer station

Abstract

The invention provides a distributed three-dimensional simulation training system for a regional power system transformer station and belongs to the field of data processing. The system comprises an integrated training classroom and a transformer station positioned at another place, wherein the integrated training classroom is provided with a first simulation training local area network; the transformer station is provided with a second simulation training local area network; the first simulation training local area network and the second simulation training local area network are connected with each other through public network resources such as an enterprise network / a wide area network and the like so as to form a network training system capable of performing remote joint simulation training as well as on-the-spot training; distributed simulation communication middleware is taken as the basis of distributed application and each simulation applying host computer is provided with the communication middleware; and the communication middleware provides universal communication and management services so as to realize a data interaction issuing / ordering mechanism and effectively reduce data traffic on the network. Simulation application distributed at different places is combined organically so as to form a distributed remote joint simulation training system. The system can be widely applied in the field of skill training of a power transformation and distribution system.

Description

technical field [0001] The invention belongs to the field of electrical digital data processing, and in particular relates to a three-dimensional simulation training system for power transformation and distribution systems. Background technique [0002] In order to ensure the safe, reliable and economical operation of the power grid, it is necessary to improve the technical quality and skill level of power grid operators (including grid dispatchers, substation operators), relay protection personnel, automation personnel, preventive test personnel, and equipment maintenance personnel. , Strengthen the training and anti-accident drills for power grid production personnel, improve the ability to control the power grid, and effectively prevent the occurrence of catastrophic blackouts. [0003] The publication date is May 25, 2005, and the publication number is CN 1619568A Chinese invention patent application, which discloses a "regional power grid three-level joint simulation tr...

AI Technical Summary

Problems solved by technology

[0005] During substation simulation training, it is required to emphasize the correct reflection of the interaction and influence between the substation and the power grid, especially for the 500kV substation and the 220kV hub substation that play an important role in the power grid. For the safety of power production and operation, the existing simulation training system obviously cannot meet this demand

[0006] In addition, the human-machine interface of the existing substation simulation training system is basically based on the two-dimensional graphic mode of the operation on the map, and some virtual reality simulation technologies are mainly limited to the primary equipment site; in terms of system structure, most of them are centralized systems, even if Some systems adopt a distributed architecture, and also use the method of network communication to synchronize the database to maintain the consistency of data on different nodes, which does not solve the problem of data interaction in a distributed environment. Meet the requirements for remote training

[0007] Therefore, the existing substation simulation training system can only be set in a specific local area or location, which does not match the actual topology and distributed layout of the entire power grid (each substation is set in different areas), and cannot meet Practical requirements for constructing a simulation training system capable of both remote training and on-site training

Images