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Optimal multi-year operation of a water supply system under uncertainty: robust methods

机译:不确定条件下供水系统的最佳多年运行:可靠的方法

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The Robust Optimization (RO) methodology (Ben-Tal et al, 2009) is applied to optimize the operation of a water supply system (WSS) which supplies water from aquifers with uncertain recharge and desalination pla'nts through a network to consumers. The objective is to minimize the total cost of multiyear operation, while satisfying operational and physical constraints. The RO methodology optimizes the uncertain problem by requesting that the uncertain parameters reside within a user-defined uncertainty set. The static ("here and now") version of RO is called Robust Counterpart (RC), in which the original problem is converted into a deterministic equivalent problem. A generic RC model for optimal operation of a WSS is developed and demonstrated. The policies obtained by the RO methodology, each requiring a different reliability, are compared with other decision making approaches.
机译:运用稳健优化(RO)方法(Ben-Tal等,2009)来优化供水系统(WSS)的运行,该系统通过不确定的补给和淡化层通过网络向消费者供水。目的是在满足运营和物理限制的同时,将多年运营的总成本降至最低。 RO方法通过请求不确定性参数驻留在用户定义的不确定性集中来优化不确定性问题。 RO的静态(“此处为现在”)版本称为“稳健对等(RC)”,其中原始问题被转换为确定性等效问题。开发并演示了用于WSS最佳运行的通用RC模型。将通过RO方法获得的策略(每个都需要不同的可靠性)与其他决策方法进行比较。

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