Paper
17 May 2022 Sustainable development strategy of electric energy based on cloud computing technology
Fengzhi Wu, Gaofeng Xu, Zhi Qi, Meng Zhang, Rong He
Author Affiliations +
Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 1225942 (2022) https://doi.org/10.1117/12.2639047
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China
Abstract
With the rapid development of human society, the shortage of traditional energy reserves in the world and the environmental problems caused by the use of traditional energy are gradually becoming prominent, and will eventually become the bottleneck restricting the economic and social development of various countries. This paper first studies the Hadoop platform that supports large-scale data processing, mainly studies HDFS, MapReduce and HBase and other components in the Hadoop ecosystem. Then, the existing power quality monitoring system is analyzed from the two aspects of power quality monitoring data storage and data processing flow, and the correctness of the calculation based on MapReduce power quality analysis operation is verified. Issues and provide policy recommendations for future sustainable development. And the optimization objective function of power energy structure is established with the lowest total cost of power generation. The differential evolution algorithm, genetic algorithm and particle swarm algorithm are used to optimize the power energy structure of M province. The total cost of power generation calculated by the differential evolution algorithm is the lowest, and its value is 15,471,420,000 yuan. According to the results of the optimization model, Put forward strategic suggestions and policy measures for the planning and application of power energy system in Mprovince.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fengzhi Wu, Gaofeng Xu, Zhi Qi, Meng Zhang, and Rong He "Sustainable development strategy of electric energy based on cloud computing technology", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 1225942 (17 May 2022); https://doi.org/10.1117/12.2639047
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KEYWORDS
Wind energy

Solar energy

Clouds

Renewable energy

Carbon

Power supplies

Distributed computing

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