Abstract
In order to enhance navigation safety and promote environmental protection, this paper takes the problem of energy management in a ship-integrated energy system into consideration. According to the characteristics of navigation, an intelligent ship energy management model, simultaneously considering the social and economic benefits, has been proposed. Meanwhile, this paper analyzes a distributed optimal scheduling problem which considers renewable generation devices and an energy storage system. Combined with an electricity-power system and thermal-power system, we propose an optimal scheduling scheme to accurately meet the actual load demand based on the pre-results analyzed by the ensemble learning short-term load forecasting algorithm. In addition, the related stability analysis is given. Further, a series of simulation results have been presented, which denote that the proposed load forecasting algorithm can accurately analyze the short-term load demand trend, and the proposed optimization algorithm can effectively coordinate economic and environmental protection.
Highlights
As we know, a traditional generator which relies on fossil resources will be accompanied by a large amount of greenhouse gases (Sun et al, 2019a; Li et al, 2020a)
It is noted that the carbon emission function is a quadratic convex, this paper enlarges the molecular part to obtain a better form of calculation, i.e., 3) Electricity and Thermal Power-off Constraints: Considering the difference between the traditional power system, the ship-integrated energy system (S-IES) should ensure that the critical equipment operates normally during the whole voyage owing to the navigation characteristics
5.2.2 Distributed Energy Management Scheduling Analysis Based on the above simulation system, we carry out two optimal scheduling simulations according to the load forecasting value
Summary
A traditional generator which relies on fossil resources will be accompanied by a large amount of greenhouse gases (Sun et al, 2019a; Li et al, 2020a). Fang et al (2020) presents an optimal management model for all electric ships (AES), which can consider both environmental and economic benefits It can ensure the navigation operation of the ship and reduce the investment of additional equipment, e.g., ESS by increasing the ship’s power system constraints. All, based on the ship’s navigation characteristics, such as carrying capacity, voyage, and velocity, combined with the constraints of the electricity/thermal energy system, such as supply and demand balance, ramping rate constraints, and energy energy-off constraints, this paper proposes a distributed optimal scheduling method for the ship-integrated energy system with load forecasting. For improving the efficient and reasonable utilization of energy, a distributed optimal scheduling algorithm for the shipintegrated energy system is proposed as well, which can guarantee safe and reliable navigation and quickly respond to the actual demand of the load equipment simultaneously.
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