Economic Analysis of Dynamic Substation Location and Capacity Determination

Shan Jiang, Hongchuan Dong, Yingbo Zhou, Geriletu Bao () and Zhenyu Zhao ()
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Shan Jiang: State Grid Hubei Electric Economics and Technology Research Institute
Hongchuan Dong: State Grid Hubei Electric Economics and Technology Research Institute
Yingbo Zhou: State Grid Hubei Electric Economics and Technology Research Institute
Geriletu Bao: North China Electric Power University
Zhenyu Zhao: North China Electric Power University

A chapter in Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1463-1475 from Springer

Abstract: Abstract In order to realize the rationality of development sequence and layout of regional substation construction projects and the economic objectives of investment, this paper studies the one-time or stage problems of substation construction, constructs dynamic location and capacity model which explores the cost difference of different substation construction schemes. The model uses ergodic algorithm and harmony search optimization algorithm to adjust the search process and other parameters to improve the ability of global optimization and iteration of the model. Through the optimization constraint relationship, the comprehensive scheme comparison of new substation and expansion is realized, so as to achieve the cost target of the whole process and the minimum number of membership changes. Through a case study, it is proved that the cost management advantages of phased investment and cost of the high voltage line construction can not be ignored. The model provides a new analysis tool for multi-stage cost planning of regional substation location and capacity.

Keywords: Substation construction; Dynamic location and capacity model; Harmony search optimization algorithm; Cost target; Membership changes; Case study (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-3587-8_100

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DOI: 10.1007/978-981-16-3587-8_100

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