Daily optimization of maintenance routing and scheduling in a large-scale photovoltaic power plant with time-varying output power

Lujie Liu, Yiyong Xiao and Jun Yang

Applied Energy, 2024, vol. 360, issue C, No S0306261924001764

Abstract: Photovoltaic (PV) power generation is an environmentally friendly and clean energy source with extensive and widespread installations worldwide. Consequently, the maintenance planning for PV power plants has become exceedingly significant. Owing to the time-varying output power of PV power plants, the optimization of daily maintenance planning for PV power plants should encompass not only the optimization of maintenance routes and task assignments, but also the consideration of reducing downtime costs resulting from failures and maintenance activities. To find the optimal route that minimizes the total cost, including travel, technician, downtime, and penalty costs, a PV power plant maintenance routing problem and its solution approach were investigated in this study. First, considering the influence of daily variations in solar radiation and temperature on output power, this study proposed an optimization problem for maintenance routing in a PV power plant. Next, linearization techniques with controllable error precision were developed to construct a mixed-integer linear programming model. Then, to efficiently solve large-scale problems, a heuristic algorithm was customized based on an adaptive large neighborhood search approach. Finally, the proposed approach was implemented at the Talatan PV power plant in Qinghai Province, China. Compared to the traditional shortest route model, which neglects the time-varying output power, the proposed method significantly reduces the total cost.

Keywords: Photovoltaic power plant; Maintenance routing; Time-varying output power; Downtime cost; Adaptive large neighborhood search (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261924001764
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:appene:v:360:y:2024:i:c:s0306261924001764

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2024.122793

Access Statistics for this article

Applied Energy is currently edited by J. Yan

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