Simulation study demonstrates an 18.4% reduction in execution costs for seaport virtual power plants, suggesting robust coordination under volatile load demands.
Key Points
To develop a scenario-driven day-ahead and intraday coordination method for seaport virtual power plants facing severe load uncertainties from ships, cranes, and electric truck battery swapping.
Generated ship shore power and battery-swapping station load profiles via Monte Carlo simulation, modeling crane load as operation-related derived load alongside wind-photovoltaic generation.
Sized energy storage rated power and capacity based on port net load peak, ramp rate, and duration dynamics.
Formulated a day-ahead dispatch model and an intraday rolling correction framework to optimize grid electricity purchases, storage operation, renewable integration, and power shortages.
Incorporating energy storage reduced total operating costs by 9.79% and decreased the maximum electricity purchase deviation by 52.11%.
The day-ahead–intraday coordination method reduced execution-stage operational costs by 18.4% under port load uncertainty.