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Parameterisation effect on the behaviour of a head-dependent hydro chain using a nonlinear model

机译：使用非线性模型，参数化对依赖头部的水链行为的影响

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This paper is on the problem of short-term hydro scheduling (STHS), particularly concerning a head-dependent hydro chain. We use a method based on nonlinear programming (NLP), namely quadratic programming, to consider hydroelectric power generation a function of water discharge and of the head. The method has been applied successfully to solve a test case based on a realistic cascaded hydro system with a negligible computational time requirement and is also applied to show that the role played by reservoirs in the hydro chain do not depend only on their relative position. As a new contribution to earlier studies, which presented reservoir operation rules mainly for medium and long-term planning procedures, we show that the physical data defining hydro chain parameters used in the nonlinear model have an effect on the STHS, implying different optimal storage trajectories for the reservoirs accordingly not only with their position in the hydro chain but also with the new parameterisation defining the data for the hydro system. Moreover, considering head dependency in the hydroelectric power generation, usually neglected for hydro plants with a large storage capacity, provides a better short-term management of the conversion of the potential energy available in the reservoirs into electric energy, which represents a major advantage for the hydroelectric utilities in a competitive electricity market.
机译：本文是关于短期水电调度（STHS）的问题，尤其是有关依赖于水头的水电链的问题。我们使用基于非线性规划（NLP）的方法（即二次规划）来考虑水力发电与排水量和扬程的关系。该方法已成功应用于基于现实级联水力系统的测试用例，计算时间要求可忽略不计，并且还用于表明水库在水力链中所扮演的角色并不仅仅取决于它们的相对位置。作为对早期研究的新贡献，这些研究提出了主要针对中长期计划程序的油藏运行规则，我们表明，定义非线性模型中使用的水力链参数的物理数据会对STHS产生影响，这意味着不同的最佳存储轨迹因此，对于储层而言，不仅具有其在水力链中的位置，而且还具有定义了水力系统数据的新参数设置。此外，考虑到水力发电中的水头依赖性（通常对于具有大存储容量的水电厂而言是被忽略的），可以更好地短期管理水库中可用的势能转换为电能，这代表了水力发电的主要优势竞争激烈的电力市场中的水电公司。

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