As a major carbon emitter, how to create an effective path for low-carbon actions in the ports is extremely urgent. In view of the abundant renewable energy resources and hydrogen equipment in the ports, a multi-source output hydrogen storage coordination system in the ports is built to achieve the purpose of carbon reduction. From the perspective of multi-energy and low-carbon economic operation in the ports, an optimal operation method of multi-source output in the ports based on the optimal carbon emission flow(CEF) is proposed to take into account both carbon emission and economy. Based on the calculation method of the nodal carbon intensity of the power system, the calculation model of the carbon potential of the electric energy storage device and the electric hydrogen conversion device under the new power system is defined; Then, a multi-objective function with the lowest carbon emission and the maximum system economic benefit is established considering the influence of the charging and discharging depth and the number of cycles of the energy storage device; Finally, a non-dominated sorting genetic algorithm II (NSGA-II) is used to analyze a ports scenario integrated with new energy, electric energy storage equipment, and electric hydrogen conversion equipment. The results show that the proposed optimal operation method can effectively reduce the carbon emissions of the ports and improve the economy of the power system in the ports.

Currently, the ocean energy strategy is rapidly developing, and a high proportionate tidal current energy grid connection presents significant obstacles to the planning and secure and stable operation of an island microgrid. For an island microgrid with high proportion tidal current energy access and demand response resources, this research suggests a multiple time scales rolling coordinative dispatching method. An MPPT control based on Q-Learning algorithm is first developed for real-time maximum power tracking of tidal current energy generation after the island microgrid’s topology has been examined. Following that, a multiple time scales rolling coordinative dispatching’s fundamental architecture and implementation method are provided, with equal time intervals coordinated in a step-by-step recursive way. In the example analysis of an island microgrid, we consider the rigid demand load that does not participate in the demand side response, and the ship load and controllable load that participate in the demand side response. On sea islands, ship loads on the long timeframe achieve traffic and energy interaction, and dispatchable loads on the short timescale participate in supply and demand balancing. This is due to the multiple time scales properties of demand response resources. In addition, a multiple time scales rolling coordinative dispatching model for an island microgrid is developed. It includes day-ahead, intraday, and real-time components. Finally, example analysis is used to confirm the dispatching method’s usefulness and advancement, and we conclude that the tidal current energy consumption rate of the island microgrid is increased by 17.08%.

In order to solve the problem of high proportion of new energy access to electrolytic aluminum, wind power generation, photovoltaic (PV) power generation and energy storage are combined to maximize the absorption of new energy in the electrolytic aluminum production process by optimizing the configuration. Using the new model of wind, solar and storage complementarity, a bi-level programming model for the high proportion of new energy access is proposed. For the propose of achieving the power required for the electrolytic aluminum production and the new energy power generation as much as possible, minimum energy storage configuration capacity is used as the upper optimization model and the maximum economic benefit is taken as the lower model. Based on the hourly power generation data of wind turbines (WT) and photovoltaics and the hourly power consumption of electrolytic aluminum process in a certain area, the nondominated sorting genetic algorithm (NSGA-II) is used to optimize the configuration of the wind turbines and photovoltaic power generation capacity. The results of research show that the optimal solution of wind-solar storage allocation capacity can maximize the local consumption of new energy on the basis of lower investment cost. At the same time, it can achieve better economy of electrolytic aluminum production, which has practical significance for the high proportion of electrolytic aluminum production and the utilization of new energy.

The integration of distributed photovoltaic and new energy vehicles could further aggravate the over-voltage, over-load, and three-phase voltage unbalance in distribution networks. Multi-station integrated system (MSIS) can resolve the aforementioned power quality issues. In this study, a new topology for a MSIS is proposed, which uses soft open point (SOP) as the key equipment of the system and adopts the hierarchical power supply mode for a data center, electric vehicle charging pile, and other function stations. Based on the topology of the MSIS and smooth switching of the converter control mode, a coordinated control strategy is proposed to control the working mode of each function station and further optimize the system operation conditions. The small signal model of the MSIS is derived, which can provide theoretical support for the stable operation of the system. The simulation results of two different application scenarios verify that the proposed topology of the MSIS and coordinated control strategy effectively improve the voltage level of the distribution network, enhance the reliability of sensitive load power supply, and ensure safe and reliable operation of the MSIS. Finally, the fusion and integration functions of the MSIS are tested and verified. The on-site demonstration indicated a mutual win–win situation for the power supply company, energy supplier, equipment provider and users.