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Well Drainage Optimization in Abandoned Mines Under Electricity Price Uncertainty

机译:在电价不确定性下放弃矿山的井排水优化

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In this pit drainage study, we investigate how pump control optimized with respect to the prevailing electricity prices impacts the operating costs. The optimization of the well operation takes the dependency of the electrical power on the water volume lifted and the changing water levels into account. The nonlinear dependency is transformed into a linear optimization problem in multiple stages. First, a superstructure optimization is used. Second, the characteristic pump profiles are linearized piecewise, resulting in a simplified problem where only the multiplication of a binary and a positive real variable remains. The multiplication of the two variables is replaced by a new variable, transforming the optimization problem into a mixed integer linear optimization (MILP) problem. The results of the superstructure optimization yield the optimal pump size and the minimal costs incurred, which are then used to optimize the maintenance strategy. We find that well costs can be reduced markedly by the optimization proposed.
机译:在这种坑排水研究中,我们研究了如何对普遍电力价格进行优化的泵控制会影响运营成本。井操作的优化采用电力对水体积的依赖性,并考虑了变化的水位。非线性依赖性在多个阶段转换为线性优化问题。首先,使用超结构优化。其次,特征泵轮廓是线性化分段的,导致简化的问题,其中仅乘法和正实变量的乘法。两个变量的乘法由新变量替换,将优化问题转换为混合整数线性优化(MILP)问题。上部结构优化的结果产生最佳泵尺寸,并且产生的最小成本,然后用于优化维护策略。我们发现通过提出的优化可以明显减少成本。

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