论文标题
一种数学方法，使用新型的多阶段可调节模糊方法来提高能量水的可靠性
A Mathematical Approach to Improve Energy-Water Nexus Reliability Using a Novel Multi-Stage Adjustable Fuzzy Robust Approach
论文作者
论文摘要
同时分析能量和水系统的系统方法的系统称为能量水连接。忽略能源与水之间的相互关系驱动脆弱性，从而限制一种资源可能会对另一个资源造成限制。电厂能源生产直接取决于水的可用性，电力系统的停电将影响废水处理设施过程。因此，整合能源和水计划模型至关重要。由于数学能量 - 水联系问题很复杂，涉及许多不确定的参数，并且是大规模的，因此我们提出了一种新型的多阶段可调模糊的强大方法，以平衡解决方案的鲁棒性与预算构成。基于方案的分析表明，与保守方法相比，所提出的方法会产生灵活而强大的决策，这些决策避免了过多的成本。关键词：能量水连接，可再生能源，不确定性下的优化，模糊逻辑，可靠的优化
A system of a systems approach that analyzes energy and water systems simultaneously is called energy-water nexus. Neglecting the interrelationship between energy and water drives vulnerabilities whereby limits on one resource can cause constraints on the other resource. Power plant energy production directly depends on water availability, and an outage of the power systems will affect the wastewater treatment facility processes. Therefore, it is essential to integrate energy and water planning models. As mathematical energy-water nexus problems are complex, involve many uncertain parameters, and are large-scale, we proposed a novel multi-stage adjustable Fuzzy robust approach that balances the solutions' robustness against the budget-constraints. Scenario-based analysis indicates that the proposed approach generates flexible and robust decisions that avoid excessive costs compared to conservative methods. Keywords: Energy-water Nexus, Renewable Energy, Optimization under Uncertainty, Fuzzy logic, Robust Optimization
