Abstract:

On the way to achieve "dual carbon" target，deep electrification of port transportation systems and multi-element integration of smart microgrids are the results of transportation and energy interconnection. A source-grid-load-storage cooperative optimization model of an electrified quay aiming at minimizing the purchase cost of electricity is constructed. The model takes power balance constraint， power purchase-sale constraint， wind-PV power output constraint， energy storage output constraint and transferable load constraint into consideration. Taking the Section C quay of Tianjin Port as the example， three typical days with the source approximately equals to load， larger than load and smaller than load are selected for the case study. And the operation performances under three regulation schemes， regulating energy storage only， regulating transferable load only and cooperatively regulating storage and load， are verified. The simulation results show that the three schemes can realize the source-grid-load-storage timing regulation， reduce the cost and increase the revenue of the quay. Energy storage plays the dominant role in operation regulation. In the scenario that the source approximately equals to load， the cooperative regulating scheme can cut the original cost by 15.34%，showing the best performance. Finally， the results of carbon emission reduction are discussed. It is concluded that "zero carbon emissions" of a quay is affected by multiple factors， such as time-series characteristics of source and load， time-of-use price， quantity of purchased and sold and accounting boundary， but it is not strictly positively correlated with the minimization of power purchase cost.

Key words: electrified quay, zero carbon emissions, source-grid-load-storage collaboration, carbon emissions, timing simulation, smart micro-gird, "dual carbon" target