Modeling State Transition and Head-Dependent Efficiency Curve for Pumped Storage Hydro in Look-Ahead Dispatch
Modeling State Transition and Head-Dependent Efficiency Curve for Pumped Storage Hydro in Look-Ahead Dispatch
复制标题
前瞻调度中抽水蓄能水力的状态转换和水头相关效率曲线建模
DOI：
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发表时间：
2021
影响因子：
6.6
通讯作者：
Yonghong Chen
中科院分区：
文献类型：
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作者：
Siyuan Wang;Jian Liu;Haotian Chen;R. Bo;Yonghong Chen
抽水蓄能作为世界上安装最广泛的公用事业规模的蓄能设施之一，在为世界范围内的电力系统提供灵活性方面发挥着至关重要的作用。因此，准确地量化PSH机组在运行优化问题中的灵活性是非常重要的。文献中的传统PSH模型很少考虑详细的状态转换，因为它们是以小时为基础的设置。然而，随着可再生能源在电力系统中所占份额的增加，在短期内优化运行变得势在必行。为此，本文提出了一种新的确定性PSH模型，该模型考虑了先行调度中PSH单元三种状态之间的转移时间和轨迹。此外，为了更好地刻画PSH机组随水头和流量变化的效率，本文提出在前瞻调度中建立详细的水头依赖效率曲线(以下称为输入-输出曲线)，这在短时间间隔时会遇到较大的计算负担。本文采用Z字形分段线性逼近方法对投入产出曲线进行建模。这可以以计算有效的方式实现对可变效率和头部依赖的准确量化。数值结果表明，所提出的PSH模型在灵活性量化和计算时间方面都具有较好的性能。
As one of the most widely installed utility-scale storage facilities, pumped storage hydro (PSH) plays an essential role in providing flexibility for power systems worldwide. Thus, to accurately quantify the flexibility of PSH units in operational optimization problems is important. The conventional PSH models in the literature rarely consider detailed state transitions due to their hourly-based settings. However, it becomes imperative for operational optimization on short-term intervals, especially with increasing shares of renewable energy in power systems. To this end, this paper presents a novel deterministic PSH model that considers the transition time and trajectory between three states of PSH units in look-ahead dispatch. Moreover, to better characterize the varying efficiency of PSH units with water head and flow rate, this paper proposes to model detailed head-dependent efficiency curves (hereafter called input-output curves) in look-ahead dispatch, which encounters heavy computational burdens when short time intervals are applied. In this work, a zig-zag piece-wise linear approximation method is used for input-output curve modeling. This can enable an accurate quantification for variable efficiency and head dependence in a computationally effective manner. Numerical results are presented to show performances of the proposed PSH model in both flexibility quantification and computation time.