Based on the background of “Carbon Peak, Carbon Neutral” and the richness of clean energy resources in large ports, a multi-clean energy integrated supply system is proposed for large ports, and a model of multi-energy integrated supply system for large ports that combines wind energy, photovoltaic energy, hydrogen energy, energy storage, and utility power is established. According to the measured data of a port on the typical day in spring, the particle swarm optimization （PSO） algorithm is adopted to optimize the integrated supply model by deploying various energy sources and flexible loads with the goal of reducing the power cost of the port under the two models with or without flexible loads. The results show that the two models achieves the effect of peak shaving, valley filling, cost reduction and efficiency improvement through the optimization of the system. Compared with the power supply from the utility only, the costs of electricity of the two models are reduced by 32.60% and 37.73%, respectively. The percentages of the using clean energy are increased by 55.46% and 58.54% respectively, which verifies the feasibility and practicability of the integrated supply system for large ports.
Key words
port and harbor /
clean energy /
power dispatching /
flexible load /
optimal dispatch /
multi-energy combined supply system
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