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Adaptive Iterative Algorithm for Optimizing the Load Profile of Charging Stations with Restrictions on the State of Charge of the Battery of Mining Dump Trucks

Furkejuvvon:
Publikašuvnnas:Mathematics vol. 13, no. 24 (2025), p. 3964-3996
Váldodahkki: Martyushev, Nikita V
Eará dahkkit: Malozyomov, Boris V, Gladkikh, Vitaliy A, Demin, Anton Y, Pogrebnoy, Alexander V, Kuleshova, Elizaveta E, Karlina, Yulia I
Almmustuhtton:
MDPI AG
Fáttát:
Iterative algorithms
Electrical loads
Communication
Batteries
Power control
Power plants
Optimization
Trucks
Quarries
Virtual power plants
Electric power grids
Energy storage
Energy resources
Electric vehicle charging
Economic analysis
Efficiency
Adaptive algorithms
Control algorithms
Electricity
Decision making
Renewable resources
State of charge
Distributed control systems
Alternative energy sources
Control methods
Energy consumption
Cost control
Constraints
Operating costs
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Abstrákta:The development of electric quarry transport puts a significant strain on local power grids, leading to sharp peaks in consumption and degradation of power quality. Existing methods of peak smoothing, such as generation control, virtual power plants, or intelligent load management, have limited efficiency under the conditions of stochastic and high-power load profiles of industrial charging stations. A new strategy for direct charge and discharge management of a system for integrated battery energy storage (IBES) is based on dynamic iterative adjustment of load boundaries. The mathematical apparatus of the method includes the formalization of an optimization problem with constraints, which is solved using a nonlinear iterative filter with feedback. The key elements are adaptive algorithms that minimize the network power dispersion functionality (i.e., the variance of <inline-formula>Pgridt</inline-formula>&#xa0;over the considered time interval) while respecting the constraints on the state of charge (SOC) and battery power. Numerical simulations and experimental studies demonstrate a 15 to 30% reduction in power dispersion compared to traditional constant power control methods. The results confirm the effectiveness of the proposed approach for optimizing energy consumption and increasing the stability of local power grids of quarry enterprises.
ISSN:2227-7390
DOI:10.3390/math13243964
Gáldu:Engineering Database