Collaborative planning of spatial layouts of distributed energy stations and networks: A case study

Yuan Zhou, Yanpeng Ma, Jiangjiang Wang and Shuaikang Lu

Energy, 2021, vol. 234, issue C

Abstract: The spatial layout of energy stations and networks is important for the implementation of regional distributed energy systems (RDES). The existing literatures mainly employed the shortest path algorithm to find the optimal layouts, which cannot fully consider the difference and complementarity between energy users. This paper employs graph theory to transform the spatial optimization into an optimization problem of searching the optimal sub-graph from the abstract graph in the studied region and solved by genetic algorithm (GA), in which the uncertainties of users loads are integrated to the optimization model. Besides, hybrid coding is introduced in GA to simultaneously optimizes the siting of energy stations and network distributions. Therefore, collaborative optimization is realized to transform such traditional two-stage optimization to single-stage optimization. The characteristics of energy consumers, geography, and network distance between consumers and stations are appropriately handled by combining collaborative optimizing and graphic theory, leading this work to high practicability and helping investors put RDES into practice. Different constraints in the case study are compared to verify the feasibility and reliability of the proposed method. The influences of load budget uncertainty on the optimization results are discussed. The results demonstrate that the proposed optimization method reduces the total annual cost and network cost by 12.3% and 4.3% compared to the shortest path algorithm, respectively.

Keywords: Distributed energy system; Energy station; Energy networks layout; Economic optimization; Collaborative optimization (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221014535
Full text for ScienceDirect subscribers only

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:eee:energy:v:234:y:2021:i:c:s0360544221014535

DOI: 10.1016/j.energy.2021.121205

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().