Exploring Investment Strategy of Technical Transformation of Power Grid Over-Aged Assets: A Approach of Dynamic Programming

G. E. Yanqin, Yinghua Chen, Yaping Wang, Xuesong Xu, Hanyu Deng () and Zhenyu Zhao ()
Additional contact information
G. E. Yanqin: State Grid Economic and Technological Research Institute Co. Ltd.
Yinghua Chen: State Grid Economic and Technological Research Institute Co. Ltd.
Yaping Wang: State Grid Economic and Technological Research Institute Co. Ltd.
Xuesong Xu: State Grid Economic and Technological Research Institute Co. Ltd.
Hanyu Deng: North China Electric Power University
Zhenyu Zhao: North China Electric Power University

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 1551-1559 from Springer

Abstract: Abstract In order to improve the efficiency of fund allocation for power grid asset technical transformation projects and promote the transformation results of power grid over-aged assets into the cost supervision and audit asset system, by establishing the dynamic programming model of partial technical transformation year by year, this paper studies the investment decision-making of differentiated technical transformation of over-aged assets, and determines the financial depreciation life after technical transformation combined with the comprehensive evaluation model of equipment health. The weighted average service life is introduced to improve the accuracy of the model results, and based on the revised weighted average of the remaining service life, selects the optimal financial depreciation life. Through a case study, it is proved that the year-on-year partial technical transformation can effectively extend the financial depreciation life of assets, the model can determine the optimal investment for technical transformation, and effectively guide the year-on-year partial technical transformation of assets of power grid enterprises, so as to achieve the goal of effectively using project investment.

Keywords: Over-aged assets; Dynamic programming; Technical transformation; Investment analysis (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_119

Ordering information: This item can be ordered from
http://www.springer.com/9789811952562

DOI: 10.1007/978-981-19-5256-2_119

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().