Abstract To exploit various energy carriers simultaneously and optimal distribution of energy in smart electrical infrastructure, a smart energy hub (S. E. Hub) concept was emerged. Therefore, the S. E. Hub is an effective solution for creating an efficient energy system. This paper attempts to provide a new management framework for the smart island which consists of Smart Energy and Water Hub (S. E. W. Hub) and microgrid. Also, optimal planning of multiple energy infrastructures of S. E. W. Hub is done considering operational constraints. Furthermore, the impact of the microgrid which includes wind turbines (WTs), photovoltaic power plant (PVPP) and tidal generation on the optimal planning of the S. E. W. Hub is investigated. The planning minimizes the total investment and operation costs as well as the environmental pollutants costs. In the proposed management framework, the balancing of thermal, electrical and water energy is provided. Due to the uncertainties associated with the considered energy sources, an effective scenario-based method is provided to accurately model such uncertainty factors. The validation of the proposed approach is shown through different cases implemented on a real industrial building and the problem is solved in the GAMS environment using CPLEX solver.

中文翻译：

---

基于情景的智慧能源和水务枢纽设计方法

摘要 为了在智能电力基础设施中同时开发各种能源载体并优化能源分配，智能能源枢纽（SE Hub）概念应运而生。因此，SE Hub 是创建高效能源系统的有效解决方案。本文试图为由智能能源和水利枢纽（SEW Hub）和微电网组成的智能岛屿提供一种新的管理框架。此外，考虑到运营限制，对 SEW Hub 的多个能源基础设施进行了优化规划。此外，还研究了包括风力涡轮机 (WT)、光伏电站 (PVPP) 和潮汐发电在内的微电网对 SEW 枢纽优化规划的影响。该规划最大限度地减少了总投资和运营成本以及环境污染成本。在提议的管理框架中，提供了热能、电能和水能的平衡。由于与所考虑的能源相关的不确定性，提供了一种有效的基于场景的方法来准确地模拟这些不确定性因素。通过在真实工业建筑上实施的不同案例展示了所提出方法的验证，并且使用 CPLEX 求解器在 GAMS 环境中解决了该问题。