Massive real-time data load simulation testing cloud platform for smart power grid, and testing method of cloud platform

Abstract

The invention discloses a massive real-time data load simulation testing cloud platform for a smart power grid, and a testing method of the cloud platform. The cloud platform comprises a virtualization unit, a central controller module and agent modules, wherein the virtualization unit virtualizes a plurality of virtual machines; the central controller module is arranged in the virtual machine to form a central controller; the agent modules are stored in the central controller in forms of virtual machine mirror image documents, and activated to form agency servers after the central controller is applied to start the virtual machines; the central controller applies the cloud platform for enough virtual machines according to testing plans in different scales; and agency server simulation monitoring devices send massive monitoring data to the servers, and test the performance of the servers. According to the cloud platform and the testing method, powerful computing resources of cloud computing are depended on; the massive virtual machines are applied from the cloud platform; the massive data of the smart power grid is tested by the agency server simulation monitoring devices; and the cloud platform has the benefits of simple structure, low input cost, convenience in use, wide testing range and good testing effect.

Description

technical field [0001] The invention relates to the technical fields of computer network and data communication, in particular to a cloud platform for simulation testing of massive real-time data loads of smart grids and a testing method thereof. The invention relates to a power system simulation test method belonging to a smart grid. Background technique [0002] Since the 21st century, countries around the world have put forward their own ideas and frameworks for the future smart grid, and international organizations such as the International Electrotechnical Commission and the International Conference on Large Power Grids have also given high support to the smart grid. The amount of state data in the smart grid environment will increase dramatically, far beyond the scope of traditional power grid state monitoring, including not only real-time online state data, but also basic equipment information, test data, operation data, defect data, inspection records, live tests Of...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, in order to test the massive real-time data of the smart grid to detect the load capacity of the smart grid system, there are two ways to realize it: one is to start from the hardware facilities, which needs to spend a lot of money to build and dismantle the test environment, such as Deployment and procurement of servers and simulation test tools, installation and debugging of test platforms, etc., are costly

The second is to use virtual instruments, that is, to add a set of software or hardware to a general-purpose computer. It also requires a lot of manpower and material resources to configure the hardware environment and set up virtual instruments. At the same time, it is difficult to collect and process test results.

[0004] Therefore, the test system of the prior art has the defects of complex hardware structure, high cost and small test scope, and it is necessary to design a new test platform to overcome the above-mentioned problems of the prior art

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