ABSTRACT

Although storage-reliability-yield (SRY) relationships have been widely used in the design and planning of water supply reservoirs, their application in hydroelectricity is practically nil. Here, we revisit the SRY analysis and seek its generic configuration for hydroelectric reservoirs, following a stochastic simulation approach. After defining key concepts and tools of conventional SRY studies, we adapt them for hydropower systems, which are subject to several peculiarities. We illustrate that under some reasonable assumptions, the problem can be substantially simplified. Major innovations are the storage-head-energy conversion via the use of a sole parameter, representing the reservoir geometry, and the development of an empirical statistical metric expressing the reservoir performance on the basis of the simulated energy-probability curve. The proposed framework is applied to numerous hypothetical reservoirs at three river sites in Greece, using monthly synthetic inflow data, to provide empirical expressions of reliable energy as a function of reservoir storage and geometry.

摘要

尽管在储水库的设计和规划中已广泛使用了储能可靠性与产量（SRY）的关系，但它们在水力发电中的应用实际上为零。在这里，我们采用随机模拟方法，重新研究SRY分析并寻求其对水力发电库的一般配置。在定义了常规SRY研究的关键概念和工具之后，我们将它们调整为适用于水电系统的水电系统，这有几个特点。我们说明，在某些合理的假设下，该问题可以得到大大简化。重大创新是通过使用代表储层几何形状的唯一参数来进行储能头-能量转换，并开发了根据统计的能量-概率曲线表达储层性能的经验统计指标。