Grid-Aware Charging Coordination of Battery-Electric Mining Trucks Under Firm Mine-Substation Capacity

In-pit fast charging of battery-electric haul trucks can overload a mine substation whose N-1 firm capacity, rated in MVA, is shared with the process load, while every charging restriction costs haulage. This paper proposes a grid-aware charging coordination for twelve 2.6 MWh trucks and four 6 MW chargers on a representative 33 kV open-pit network with a 30 MVA firm capacity, an on-load tap changer, pit overhead lines and trailing cables. The policy combines state-of-charge thresholds, deadline-based break charging, a fleet power cap, staggered meal breaks, charger reactive power and a forecast-based apparent-power headroom constraint that converts the firm capacity into a per-step charging limit. Its twelve parameters are tuned with L-SHADE on eight random days and tested on 1000 independent days. Uncontrolled charging exceeds the firm capacity every day (mean peak 43.0 MVA). The coordinated policy holds the mean peak at 29.7 MVA, lowers the peak import by 32 % and the losses by 10.9 %, and reduces the mean lost haulage from 30.2 to 29.5 truck-hours per day; with a 98 % margin, it exceeds 30 MVA on 2.9 % of the days, whereas strict-compliance settings never do on the 1000 test days (29.6–29.7 truck-hours per day). The cap lowers the peak import by about 1 MW; its haulage benefit depends on the charger-allocation rule. Staggered breaks give most of the haulage gain. Charger reactive power acts as an apparent-power margin and becomes decisive at 25 MVA. Stress and forecast-error tests show that the haulage gain is an average, not a daily guarantee, and that volatile process loads require metered feedback and larger margins.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2026-10-30
DOI
https://doi.org/10.3390/wevj17110570
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00

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article

Grid-Aware Charging Coordination of Battery-Electric Mining Trucks Under Firm Mine-Substation Capacity

Ahmed Lakhssassi, Habib Kraiem, Nordine Quadar, Nabil Mchirgui
World Electric Vehicle Journal
Electric Vehicles and Infrastructure
article

Grid-Aware Charging Coordination of Battery-Electric Mining Trucks Under Firm Mine-Substation Capacity

Ahmed Lakhssassi, Habib Kraiem, Nordine Quadar, Nabil Mchirgui
article en

Abstract

In-pit fast charging of battery-electric haul trucks can overload a mine substation whose N-1 firm capacity, rated in MVA, is shared with the process load, while every charging restriction costs haulage. This paper proposes a grid-aware charging coordination for twelve 2.6 MWh trucks and four 6 MW chargers on a representative 33 kV open-pit network with a 30 MVA firm capacity, an on-load tap changer, pit overhead lines and trailing cables. The policy combines state-of-charge thresholds, deadline-based break charging, a fleet power cap, staggered meal breaks, charger reactive power and a forecast-based apparent-power headroom constraint that converts the firm capacity into a per-step charging limit. Its twelve parameters are tuned with L-SHADE on eight random days and tested on 1000 independent days. Uncontrolled charging exceeds the firm capacity every day (mean peak 43.0 MVA). The coordinated policy holds the mean peak at 29.7 MVA, lowers the peak import by 32 % and the losses by 10.9 %, and reduces the mean lost haulage from 30.2 to 29.5 truck-hours per day; with a 98 % margin, it exceeds 30 MVA on 2.9 % of the days, whereas strict-compliance settings never do on the 1000 test days (29.6–29.7 truck-hours per day). The cap lowers the peak import by about 1 MW; its haulage benefit depends on the charger-allocation rule. Staggered breaks give most of the haulage gain. Charger reactive power acts as an apparent-power margin and becomes decisive at 25 MVA. Stress and forecast-error tests show that the haulage gain is an average, not a daily guarantee, and that volatile process loads require metered feedback and larger margins.

World Electric Vehicle JournalVol. 17(11)
Northern Border University (SA), Université du Québec en Outaouais (CA), Royal Military College of Canada (CA)
Northern Border University
Industry, innovation and infrastructure, Affordable and clean energy
Openalex Percentile: Top 24%
Electric Vehicles and Infrastructure
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