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Robust optimal design of energy supply systems under uncertain energy demands based on a mixed-integer linear model

机译:基于混合整数线性模型的不确定能源需求下的能源供应系统鲁棒优化设计

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In designing energy supply systems, designers should consider the robustness in performance criteria against the uncertainty in energy demands. In this paper, a robust optimal design method of energy supply systems under uncertain energy demands is proposed using a mixed-integer linear model so that it can consider discrete characteristics for selection and on/off status of operation and piecewise linear approximations for nonlinear performance characteristics of constituent equipment. First, a robust optimal design problem is formulated as a three-level min-max-min optimization one by expressing uncertain energy demands by intervals based on the interval programming, evaluating the robustness in a performance criterion based on the minimax regret criterion, and considering hierarchical relationships among design variables, uncertain energy demands, and operation variables. Then, a special solution method of the problem is proposed especially in consideration of the existence of integer operation variables. In a case study, the proposed method is applied to the robust optimal design of a cogeneration system with a simple configuration. Through the study, the validity and effectiveness of the method is ascertained, and some features of the obtained solutions are clarified.
机译:在设计能源供应系统时,设计人员应考虑性能标准的稳健性与能源需求的不确定性。本文采用混合整数线性模型,提出了一种不确定能源需求下的能源供应系统鲁棒优化设计方法,可以考虑离散特性进行选择和运行的开/关状态,并考虑非线性性能特性的分段线性逼近。组成设备。首先,将鲁棒性最佳设计问题公式化为三级最小-最大-最小-最优化问题,方法是通过基于间隔编程来表示不确定的能量需求,并基于最小极大后悔准则在性能准则中评估鲁棒性,并考虑设计变量,不确定的能源需求和操作变量之间的层次关系。然后,特别考虑到整数运算变量的存在,提出了一种解决问题的特殊方法。在案例研究中,将所提出的方法应用于具有简单配置的热电联产系统的鲁棒优化设计。通过研究,确定了该方法的有效性和有效性,并阐明了所获得解决方案的一些特征。

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