Glossary · approach
Charging-Station Location Planning
Strategic OR problem of selecting locations, types (AC slow vs DC fast) and counts of public EV charging stations to deploy in a region, balancing capital and operational cost against expected user coverage and waiting time.
EV Charging Infrastructure PlanningCharging Station SitingEV Station Location ProblemCharging Network Deployment
Charging-Station Location Planning is the tactical/strategic decision problem of an EV charging-network operator (or a public-sector authority planning regional infrastructure) of selecting, from a set of candidate locations (car parks, malls, highway service areas, fuel-station retrofits), which sites to deploy, of what charging type (AC slow ~22 kW vs DC fast 50-350 kW), in what counts and at what installed capacity. Inputs include forecasted EV-penetration trajectory (5-10 year horizon), per-candidate land + grid-connection costs, expected daily demand and dwell-time distribution, regional coverage target (each EV user within X km of a station). Often formulated as a p-median or maximum-coverage problem (Ko and Shang 2010) under an investment budget constraint; when EV-penetration is uncertain, framed as a two-stage stochastic program (Sweda and Klabjan 2012) with site decisions in the first stage and demand-scenario realisation in the second. Grid-connection feasibility (transformer + distribution-line lead times of 6-18 months) is an essential time dimension often modelled as a scenario variable. The Rahman et al. (2016) survey reviews modern formulations and metaheuristics.
Örnek
A regional charging-network operator evaluated 80 candidate sites for a 25-station rollout; switching from intuitive selection to a two-stage stochastic p-median model under uncertain EV penetration improved expected utilisation from 22% to 51% and brought payback from 6 years to 3 years.