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Robust multi-objective optimization for sustainable design of distributed energy supply systems

机译：分布式能源供应系统可持续设计的稳健多目标优化

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Sustainable design of distributed energy supply systems involves multiple aims. Therefore, multi-objective optimization is the appropriate concept for sustainable design. However, input parameters are in general uncertain. If uncertainties are disregarded in the optimization, solutions usually become infeasible in practice. To incorporate uncertain parameters, we apply the concept of minmax robust multi-objective optimization for designing sustainable energy supply systems. We propose a mixed-integer linear problem formulation. The proposed formulation allows to identify robust sustainable designs easily guaranteeing security of energy supply. Energy systems are shown to typically exhibit objective-wise uncertainties. Thus, a Pareto front can still be derived. In a real-world case study, robust designs are identified with a good trade-off between economic and ecologic criteria. The robust designs perform remarkably well in the nominal scenario. The presented problem formulation transfers the important theoretical concept of minmax robust multi-objective optimization into engineering practice for the design of sustainable energy systems.
机译：分布式能源供应系统的可持续设计涉及多个目标。因此，多目标优化是可持续设计的合适概念。但是，输入参数通常不确定。如果在优化过程中忽略不确定性，则解决方案通常在实践中变得不可行。为了合并不确定的参数，我们将minmax鲁棒多目标优化的概念用于设计可持续能源供应系统。我们提出了一个混合整数线性问题公式。提议的公式允许确定可靠的可持续设计，轻松保证能源供应的安全性。能源系统通常表现出客观的不确定性。因此，仍然可以得出帕累托前沿。在现实世界的案例研究中，确定了可靠的设计，并在经济和生态标准之间进行了很好的权衡。坚固的设计在标称情况下表现出色。提出的问题表述将最小最大鲁棒多目标优化的重要理论概念转移到了设计可持续能源系统的工程实践中。

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