Cloud computing SaaS (Software as a Service) service mode-based electric energy quality auxiliary service system and implementation method thereof

Abstract

The invention discloses a cloud computing SaaS (Software as a Service) service mode-based electric energy quality auxiliary service system and an implementation method thereof, and relates to the technical fields of power engineering, computer software engineering and database design. A cloud computing SaaS service mode is introduced into a solution for an electric energy quality auxiliary service problem; the cloud computing SaaS service mode-based electric energy quality auxiliary service system is constructed and implemented; and customized configuration of an electric energy quality auxiliary service sharing example under the cloud computing SaaS service mode is realized by using an Agent technology, so that different electric energy quality auxiliary service request providing services can be realized by setting one electric energy quality auxiliary service example in the system. The variation of the service can be flexibly adapted without changing a main frame of the service system, the workload of the service provider is effectively reduced, and the cost of providing various items of auxiliary service is saved; the resource reusability and the integral efficiency of the system are improved; and the system has higher extensibility.

Description

technical field [0001] The invention relates to the technical fields of electric power engineering, computer software engineering, and database design, in particular to a power quality auxiliary service system based on a cloud computing SaaS service mode and an implementation method thereof. Background technique [0002] In recent years, cloud computing (Cloud Computing) has gradually become a popular technology. Cloud computing in a narrow sense refers to building data centers or supercomputers through distributed computing and virtualization technology, and providing users with services such as data storage, analysis, and scientific computing through the network in an easily expandable manner; cloud computing in a broad sense refers to Establish a network server cluster, connect multiple homogeneous or heterogeneous computing servers to complete work tasks, and provide different types of services such as data access and computing analysis to different users. In short, clo...

AI Technical Summary

Problems solved by technology

[0004] (1) The software and hardware deployment and maintenance expenses on the user side of the power supply enterprise are relatively large, and the update and maintenance of specific services require a lot of resources;

[0005] (2) The workload of new application services on the power quality auxiliary service provider side is heavy, and the adaptability to changes in user business needs is poor;

[0006] (3) The reusability of basic system services is poor, and the reuse rate of system resources needs to be improved

[0007] In the practice of power engineering, considering that in conventional power quality evaluation and governance services, the harmonic analysis and interference source evaluation processes are usually complicated and require a large amount of calculation; filter parameter design and SVC compensation capacity design need to be solved by pair-to-many Comprehensive evaluation of the object or multi-solution scheme to determine the best design scheme

Therefore, if special application service instances are provided for different power quality auxiliary service requests, then with the increase of power quality auxiliary service requests from power supply enterprise users, on the one hand, the workload on the system service provider side is quite amazing; on the other hand, The reuse rate of system service resources is quite low, resulting in waste of service resources

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