The efficient utilization of available resources plays a significant role in the operation of cascaded hydropower systems. Scheduling of such systems may be used to determine power generation and generating unit decisions that optimize economic performance subject to prevailing constraints. The highly volatile and unpredictable nature of market and weather conditions give rise to uncertainties in electricity prices and water inflows, which may significantly impact the power generation schedules for these systems. Computed schedules may also give rise to significant variation in the generating unit commitments in response to slight fluctuations in electricity pricing, a phenomenon referred to as “nervousness”. This article focuses on the development and implementation of a novel rolling horizon online scheduling scheme capable of handling uncertainties in key system and model parameters. Different strategies for mitigating the undesirable effects of nervousness are also investigated. These approaches are demonstrated through application to several case studies.

有效利用可用资源在梯级水电系统的运行中起着重要作用。此类系统的调度可用于确定发电和发电单元决策，这些决策可根据主要约束条件来优化经济表现。市场和天气状况的高度动荡和不可预测的性质导致电价和水流入的不确定性，这可能会严重影响这些系统的发电计划。根据电价的轻微波动，计算出的时间表也可能导致发电机组承诺的重大变化，这种现象称为“紧张”。本文重点研究能够处理关键系统和模型参数不确定性的新型滚动地平线在线调度方案。还研究了减轻神经质不良影响的不同策略。这些方法通过应用于几个案例研究得到了证明。