A New Economic Evaluation Method for Big Data Technology of Power Grid Engineering in the Background of Power System Based on Network Analysis Method
Authors: 
Delv Zhu, Min Cang, Xiaomeng Zhai, Lu LuAuthors Info & Claims
Delv Zhu, Min Cang, Xiaomeng Zhai, Lu LuAuthors Info & ClaimsPages 477 - 483
Abstract
With the hot construction of the new power system, the power load is steadily increasing. At the same time, China's resource and environmental constraints are becoming increasingly severe, and various pressures on power grid construction are constantly emerging. This has led to an increasing demand and data volume for the construction of the new power system in China. This article proposes a big data technology and economic level evaluation method for power grid engineering projects based on the Network Analysis Method (ANP). This method can effectively overcome the problems of too many influencing factors and complex data forms in the evaluation process.
References
[1]
Zhou Qinyong, “How to build a new type of power system that meets the "dual carbon” goal” [J]. Energy, 2021, No.153 (10): 28-32
[2]
Hossain M A, Pota H R, Hossain M J,et al.Evolution of microgrids with converter-interfaced generations: Challenges and opportunities[J].International Journal of Electrical Power & Energy Systems, 2019, 109(JUL.):160-186.
[3]
Chu Xiaojie, “Research on the Evaluation Method of Technology and Economy under Power Grid Companies and Their Market Operations” [D]. Changsha University of Technology, 2008
[4]
Jiang Peng, “Research on Technical and Economic Evaluation Methods for Power Grid Planning Schemes [D]. Shanghai Jiao Tong University, 2010
[5]
Han Xiaoqing, Li Tingjun, Zhang Dongxia, “New Issues and Key Technologies in the Planning of New Power Systems under the Dual Carbon Target ”[J]. High Voltage Technology, 2021, 47 (09): 3036-3046.
[6]
Chicco G, Mancarella P. Distributed multi-generation: A comprehensive view[J]. Renewable and sustainable energy reviews, 2009, 13(3): 535-551.
[7]
Gouareh A, Settou B, Settou N. A new geographical information system approach based on best worst method and analytic hierarchy process for site suitability and technical potential evaluation for large-scale CSP on-grid plant: An application for Algeria territory[J]. Energy Conversion and Management, 2021, 235: 113963.
[8]
Tang Yafang, “Optimization Model for Annual Investment Decision of Distribution Network Based on Annual Expected Maximum Return” [J] Grid and Clean Energy, 2015, 31 (09): 6-11
[9]
Zhang Wenhua, Yan Qingyou, He Gang, and Yuan Jiahai, “The low-carbon transformation path and strategy of China's power system under climate change constraints” [J]. Progress in Climate Change Research, 2021, 17 (01): 18-26
Index Terms
- A New Economic Evaluation Method for Big Data Technology of Power Grid Engineering in the Background of Power System Based on Network Analysis Method
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Published In
December 2023
917 pages
ISBN:9798400716669
DOI:10.1145/3659211
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 May 2024
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- Research-article
- Research
- Refereed limited
Funding Sources
- State Gird Jiangsu Electric Power CO., LTD. Economic Research Institute
Conference
BDEIM 2023
BDEIM 2023: 2023 4th International Conference on Big Data Economy and Information Management
December 8 - 10, 2023
Zhengzhou, China
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