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Optimal scheduling of PV-storage irrigation pump truck by dynamic historical particle swarm optimization
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DOI：10.1016/j.agwat.2026.110674.png)
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Abstract
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• DHPSO is developed for 15-min discrete scheduling of PV-storage irrigation pump trucks. • Linear inertia decay, symmetric velocity bounds, and triggered Gaussian mutation improve search adaptability. • DHPSO provides competitive convergence and scheduling performance against selected benchmark algorithms. • Field-based evaluations indicate improved energy utilization and modest irrigation gains under constrained conditions.
Keywords:
Photovoltaic-storage irrigation pump truck
DHPSO algorithm
Variable-speed strategy
Optimized operation
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