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Optimal discretization of net head dependency in heterogeneous multi-reservoir hydroelectric systems

机译:异构多水库水电系统净头依赖性的最佳离散化

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Modeling the net head dependency of hydro-power plants constitutes a severe challenge from the optimization point of view. One possible approach is to pre-establish a discrete set of representative net heads and to formulate the hydro scheduling problem assigning binary variables to activate the net head that better matches the reservoir level at each time interval. Given that increasing the number of binary variables can compromise the complexity of the resulting problem, the total number of discrete possible values must be bounded. In the case of multi-reservoir systems with heterogeneous power plants, the common practice of assigning the same number of discrete values for all the power plants could not be efficient as some binary variables might be providing too much accuracy in plants with a low impact on the global results, whereas plants with higher impact could be poorly represented. Given a maximum number of available binary variables, this paper presents a method to determine how many different net head values should be used for each power plant based on their technical characteristics. The proposed method is applied to a realistic system with satisfactory results.
机译:模型水力发电厂的净头依赖性从优化的角度构成严重挑战。一种可能的方法是预先建立一个离散的代表性网头集,并配制分配二进制变量的水电调度问题,以激活更好地匹配每次间隔的储层级别。鉴于增加二进制变量的数量可能会损害产生的问题的复杂性,必须界定离散可能值的总数。在具有异质发电厂的多储层系统的情况下,为所有发电厂分配相同数量的离散值的常见做法不能高效,因为某些二进制变量可能在植物中提供太多的植物准确性全球结果,而影响较高的植物可能是不好的。鉴于最大数量的可用二进制变量,本文提出了一种方法,以确定基于其技术特征的每个电厂应使用不同的净头值。该方法应用于具有令人满意的结果的现实系统。

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