Research on Investment Strategy and Evaluation Mechanism of Power Enterprises Considering Local Development Characteristics
Abstract - 91
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Keywords

Index weight
Characteristic industry
Benefit evaluation system
Economic benefit indicators
Investment proportion allocation model

How to Cite

1.
Yang J, Wang W, Duan K, Yang Y. Research on Investment Strategy and Evaluation Mechanism of Power Enterprises Considering Local Development Characteristics. Glob. J. Energ. Technol. Res. Updat. [Internet]. 2021 Dec. 28 [cited 2024 Jul. 26];8:71-83. Available from: https://avantipublishers.com/index.php/gjetru/article/view/1185

Abstract

The investment in developing industries with local characteristics is an essential link in the industrial investment chain of power enterprises. Reasonably selecting industries worthy of investment will significantly improve the income of power enterprises. Firstly, this paper constructs an investment project benefit evaluation system including economic benefit indicators and social environment indicators. Secondly, the combination of the analytic hierarchy process and grey correlation method is used to determine the index weight, and the comprehensive evaluation method is used to calculate the score of each index. Finally, the corresponding investment proportion allocation model is established to calculate the relevant industries worthy of investment.

https://doi.org/10.15377/2409-5818.2021.08.5
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References

Wang Q, Wang R, Wan M, Du Y, He P, Chen J, Du L. Research on distribution network investment allocation method considering actual demand and investment benefit[J]. IOP Conference Series: Earth and Environmental Science, 2021; 680(1): https://doi.org/10.1088/1755-1315/680/1/012013

Wang Y, Yaling J, Yang J, Tang Y, Zhou P, Chen C. Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method[J]. E3S Web of Conferences, 2021; 253. https://doi.org/10.1051/e3sconf/202125303049

Zhang Z, et al. A Provincial Grid Investment Distribution Method based on the Evaluation of Distribution Network Investment Benefit and Grid Gevelopment Demand. 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), 2020; pp. 3502-3505. https://doi.org/10.1109/EI250167.2020.9347096

Liu Y, Ma Q, Xu C, Liu H, Wang Z. Investment Optimization Model for Distribution Networks Projects With Risk and Efficiency Constraints. 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), 2020; pp. 2047-2052. https://doi.org/10.1109/EI250167.2020.9346991

Solat S, Jafarian M, Shayanfar HA, Moslemi N, Yavartalab A. Business Prioritization in Electric Distribution Network Using Analytic Hierarchy Process: A Case Study for Iran. 2018 Electrical Power Distribution Conference (EPDC), 2018; pp. 24-27. https://doi.org/10.1109/EPDC.2018.8536279

Zhang Z, Tang H, Zhu J, Zhang D, Leng H. Topology Verification Method of Low-Voltage Distribution Network based on T-type Grey Correlation Degree. 2020 5th International Conference on Smart Grid and Electrical Automation (ICSGEA), 2020; pp. 55-58. https://doi.org/10.1109/ICSGEA51094.2020.00020

Ma L, Liu W, Zhu TM. Methods selection and overall process of distribution network planning comprehensive evaluation. 2014 China International Conference on Electricity Distribution (CICED), 2014; pp. 633-63. https://doi.org/10.1109/CICED.2014.6991789

Zhang F, Luo H, Liu M, Li N, Zhang D. Investment allocation model based on Gini coefficient and its application to electric power subsidiaries. 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015; pp. 569-573. https://doi.org/10.1109/DRPT.2015.7432293

Liu J, Gao X. Fuzzy synthetic evaluation on variable weight of investment risk in international engineering project. 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, 2011; pp. 4999-5002.

Wei L, Xiudi Y, Qianyuan Z, Jiannan L. Research and Implementation of the Informatization Investment Efficiency of Grid Enterprise Evaluation Model Based on Fuzzy Comprehensive Evaluation Method. 2012 Fourth International Conference on Computational and Information Sciences, 2012; pp. 396-399. https://doi.org/10.1109/ICCIS.2012.226

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Copyright (c) 2021 Jiahui Yang, Wei Wang, Ke Duan, Yifan Yang