The renewable energy microgrid is an effective solution for island energy supply with the advantages of low energy cost, environmental protection, and reliability. In this paper, an island renewable energy microgrid integrated with desalination units and electric vehicles is established to meet the self-satisfaction of the island’s sustainable electricity, fresh water, and transportation. The source side components of the system include photovoltaic cells, wind turbines, diesel generators, battery energy storage systems. A multi-objective dispatching optimization method based on the flexibility of electric vehicles and desalination units is proposed comprehensively considering the economy and renewable energy penetration indexes. The optimization objectives are minimizing the comprehensive operating cost, and the net load fluctuation. An improved multi-objective grey wolf optimizer is adopted to solve the dispatching problem. The system is modeled and simulated by MATLAB software. The feasibility of the proposed dispatching optimization method is verified by case studies and operation simulation. Four different cases are compared and analyzed to study the impact of EVs and DES on dispatching optimization.

中文翻译：

---

结合了海水淡化装置和电动汽车的岛型微电网的多目标调度优化

可再生能源微电网具有能源成本低，环保，可靠性高等优点，是海岛能源供应的有效解决方案。在本文中，建立了一个将海水淡化装置和电动汽车集成在一起的岛上可再生能源微电网，以满足岛上可持续的电力，淡水和交通运输的自我满足。该系统的源端组件包括光伏电池，风力涡轮机，柴油发电机，电池储能系统。综合考虑经济性和可再生能源渗透指标，提出了一种基于电动汽车和海水淡化单位灵活性的多目标调度优化方法。优化目标是最大程度地降低综合运营成本和净负载波动。采用改进的多目标灰狼优化器来解决调度问题。该系统通过MATLAB软件进行建模和仿真。通过实例分析和运行仿真验证了所提出的调度优化方法的可行性。对四种不同情况进行了比较和分析，以研究EV和DES对调度优化的影响。