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Algorithmization in the task of optimization of cascade hydro power plants

机译:梯级水电站优化任务中的算法化

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Our work focuses on the problem of optimizing a cascade of three small hydro power plants. The optimization is based on deciding how much electricity to produce dependent on the day-ahead hourly electricity prices. The problem is reduced to controlling the water volumes in the cascade's reservoirs. We examine two approaches - linear programming based on Matlab's Simplex method (the Linprog function) and a Dynamic programming method. Linear programming is used for the limiting case when electricity prices exhibit daily cyclicality and Dynamic programming works for a finite time period. Two numerical examples are considered.
机译:我们的工作重点是优化三个小型水力发电厂的级联问题。该优化基于根据日前每小时电价决定产生多少电。问题减少到控制级联水库中的水量。我们研究了两种方法-基于Matlab的Simplex方法(Linprog函数)的线性编程和动态编程方法。当电价表现出每日周期性并且动态编程在有限的时间段内起作用时,将线性编程用于极限情况。考虑两个数值示例。

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