Subjective-and-objective mixed evaluation method for constructing power system cloud platform

Abstract

The present invention relates to a subjective and objective hybrid evaluation method for the construction of a power system cloud platform, and its technical characteristics are as follows: step 1, analyzing the influencing factors of the construction of a power system cloud platform, and constructing an evaluation index system for the construction of a power system cloud platform; 2. Based on the evaluation index system of the power system cloud platform construction constructed in step 1, the subjective and objective mixed weighting method combining the analytic hierarchy process and the entropy weight method is used to solve the index weight value, and the subjective and objective mixed evaluation model of the power system cloud platform construction is established; Step 3. Conduct a comprehensive evaluation of the construction of the power system cloud platform, and obtain the evaluation value F of the construction of the power system cloud platform. The present invention combines the entropy weighting method and the analytic hierarchy process, and selects the subjective and objective mixed weighting value method combining the analytic hierarchy process and the entropy weighting method to solve the weighting value, effectively avoiding the subjectivity and objectiveness of the expert opinions of the subjective weighting method. The disadvantage of the weighting method is that the measurement data is too sporadic.

Description

technical field [0001] The invention belongs to the technical field of cloud platform construction, and relates to an evaluation method for the construction of a power system cloud platform, in particular to a subjective and objective mixed evaluation method for the construction of a power system cloud platform. Background technique [0002] With the development of new energy technology and information technology, the Energy Internet dominated by clean energy transmission has become a trend in energy development. Scholars at home and abroad have conducted research on system architecture, key technologies, operating modes, typical applications, and development paths. some studies. As an important information technology, cloud computing technology is used in various industries and is also an important part of the Energy Internet. Domestic and foreign power system counterparts have conducted some research on concepts, technical architecture, and typical application scenarios. H...

AI Technical Summary

Problems solved by technology

[0004] (1) Demonstration project construction: The power system has independent servers, storage, communication equipment and other basic networks, which provide an on-site hardware environment for the application of power system cloud computing technology, but the inherent professional particularity of the power industry determines that it cannot directly Transplant foreign open and mature commercial cloud service platforms, while domestic cloud computing vendors mostly stay at the level of publishing their own SaaS (System as a Service) based on foreign IaaS public cloud platforms, and basically need to develop a set of professional grid-specific solutions from scratch platform, facing many technical, financial, management and other problems

In short, the application of cloud computing in the power industry is still in the construction stage of demonstration projects, and it will take time to promote and apply it on a large scale

[0005] (2) Technology needs to be improved: cloud computing technology itself is still in the development stage, and many key issues such as virtual technology, data management, resource scheduling, programming mode, fast storage, etc. need to be studied in depth, and its application technology in power systems is even more existent many challenges

[0006] (3) Prominent security risks: Under the background of energy Internet, business systems related to power systems have different hardware platforms, program development languages, communication protocols, and system architectures, and have various communication networks such as optical fiber networks, Ethernet, and wireless networks. , its performance is uneven, which not only affects work efficiency, but is also vulnerable to network attacks; in addition, the computer skills of industry practitioners vary, and the awareness of network security and data security is not strong, which also brings serious damage to the system and data. Potential safety hazards, technology, talents and management need to be strengthened

[0007] (4) Lack of a mature business model: Cloud computing technology is a platform-level popular business service. Its application in the power system industry not only needs to be specific to the technical characteristics of the industry, but also needs to fully comply with the power system in terms of investment, construction and operation. The characteristics of the company face many problems such as technology, property rights, management, and talents, which need to be further studied

[0008] The existing research mainly takes the power system cloud platform as its main research object, focusing on the construction of the power system cloud platform; in terms of the weighting method of the evaluation index, international and domestic scholars have carried out analytic hierarchy process, balanced scorecard method, and entropy weight method. Some studies have been carried out on deterministic methods such as interval and fuzzy methods, but they are specifically aimed at the evaluation of power system cloud platform construction and the research on the combination of subjective and objective hybrid weighting methods of applying AHP and entropy weight method not yet covered

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