DCOM (distributed component object model)-based digital simulation system for distribution network

Abstract

The invention provides a DCOM (distributed component object model)-based digital simulation system for a distribution network. The system comprises a client side and a server side, wherein the server side is a simulation server cluster formed by multiple simulation servers; the simulation server cluster is connected with the server side through a communication bus; the client side is used for calling simulation services provided by the server side by using a DCOM assembly; the server side is used for dispatching to-be-processed tasks to each cluster node. The digital simulation system is constructed, optimized planning and running of the smart distribution network are facilitated, so that the utilization efficiency and the reliability of the smart distribution network are improved, and the power outage loss is reduced.

Description

technical field [0001] The invention relates to a simulation system, in particular to a DCOM-based distribution network digital simulation system. Background technique [0002] The power distribution network is located at the end of the power system and mainly plays the role of electric energy distribution in the power network. The structure of power distribution network is large and complex, and the network structure changes frequently due to faults or switching of switches during load transfer operations. With the growth of urbanization and electricity demand, the distribution network has been continuously transformed and expanded, and its scale has also continued to expand. become increasingly complex. [0003] In order to keep the distribution network in a safe, reliable, high-quality, economical and efficient optimal operation state, improve the power quality of the distribution system, maximize the economic benefits of the power grid enterprises, and thus improve the...

AI Technical Summary

Problems solved by technology

[0004] At present, there are few digital simulation systems in the distribution network, and the simulation is more limited to theoretical analysis and training simulation, which lacks a guiding role in the safe production and economic operation of the distribution network; or as an advanced application and distribution automation, planning and development Systems such as policy are deeply coupled, and the single function cannot fully cover the entire distribution network simulation system. The supported models are scarce, the algorithm is inefficient and the calculation results are not accurate enough to reflect the actual state of the site, and it is difficult to deal with large-scale, complex and changeable distribution networks. The development of modern distribution network has brought considerable adverse effects

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