In this paper, an optimal coordination method for energy dispatch and voyage scheduling is proposed for a renewable-energy-integrated hybrid AC/DC multi-energy ship (MES) microgrid under the continuous ship swinging. In the MES microgrid, all the onboard units are dispatched coordinately with higher flexibility for providing multiple energies. To guarantee the reliable ship operation, diverse uncertainties from solar irradiation, ship swinging angle, and onboard multi-energy demands are managed by an adaptive risk-averse stochastic programming approach to minimize the voyage cost and conditional value-at-risk. Besides, chance constraints are introduced to leverage the quality of thermal service given the thermal inertia. To speed up the solution process, the original nonlinear/nonconvex operation constraints are reformulated to a mixed-integer quadratically constrained programming form by linearization/convexification and scenario generation/reduction methods. Then the problem can be efficiently solved by commercial solvers. Finally, case studies are conducted on a test MES microgrid. The simulation results verify that the proposed method is effective in coordinating multi-energy dispatch and voyage scheduling, minimizing operating cost/risk, and immunizing against diverse uncertainties.

中文翻译：

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不确定性下多能源船舶航行风险规避的自适应随机优化方法

本文提出了一种在船舶连续摆动的情况下，可再生能源集成的交/直流混合多能源船（MES）微电网的能量调度和航次调度的最佳协调方法。在MES微电网中，以更高的灵活性协调调度所有机载单元，以提供多种能量。为了保证船舶的可靠运行，通过自适应风险规避随机规划方法来管理太阳辐射，船舶摇摆角度和船上多种能源需求等各种不确定性，以最大程度地降低航行成本和有条件的风险价值。此外，引入了机会限制以在给定热惯性的情况下利用热服务的质量。为了加快解决过程，原始的非线性/非凸操作约束通过线性化/凸化和方案生成/归约方法重新构造为混合整数二次约束编程形式。然后，可以通过商业解决方案有效地解决该问题。最后，在测试的MES微电网上进行案例研究。仿真结果验证了该方法在协调多能量调度和航次调度，最小化运营成本/风险以及避免各种不确定性方面是有效的。