We consider the problem of managing a hydroelectric power plant system. The system consists of N hydropower dams, which all have some maximum production capacity. The inflow to the system is some stochastic process, representing the precipitation to each dam. The manager can control how much water to release from each dam at each time. She would like to choose this in a way which maximizes the total revenue from the initial time 0 to some terminal time T. The total revenue of the hydropower dam system depends on the price of electricity, which is also a stochastic process. The manager must take this price process into account when controlling the draining process. However, we assume that the manager only has partial information of how the price process is formed. She can observe the price, but not the underlying processes determining it. By using the conjugate duality framework of Rockafellar, we derive a dual problem to the problem of the manager. This dual problem turns out to be simple to solve in the case where the price process is a martingale or submartingale with respect to the filtration modelling the information of the dam manager.
The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities
Centre of Mathematics (CMAT), University of Minho(米尼奥大学数学中心);Department of Mechanical Engineering (Section of Mathematics) - FEUP, University of Porto(波尔图大学工程学院机械工程系(数学分部))
Lagrangian Relaxation for Continuous-Time Optimal Control of Coupled Hydrothermal Power Systems Including Storage Capacity and a Cascade of Hydropower Systems with Time Delays
A Sensor-Driven Optimization Framework for Asset Management in Energy Systems: Implications for Full and Partial Digital Transformation in Hydro Fleets
Strong Duality of Linear Optimisation Problems over Measure Spaces
在这项工作中,我们提出了两个特殊的情况下,一般的对偶结果的线性优化问题的带号测度,无限多的限制的形式积分的功能方面的决策变量(措施的问题)强对偶持有。在第一种情况下,优化问题是在测量与$L^p$密度函数与$1 < p < \infty$。在第二种情况下,我们考虑一个半无限的优化问题,其中许多约束的形式给出的积分界。后一种情况在实践中具有特别重要的意义,该模型可以应用于稳健的风险管理和无模型期权定价。
Stochastic maximum principle for time-changed forward-backward stochastic control problem with Lévy noise
Yau Mathematical Sciences Center, Tsinghua University(丘成桐数学科学中心,清华大学);Department of Mathematical Sciences, Tsinghua University(数学科学系,清华大学);Department of Automation, Center for Brain-Inspired Computing Research, Tsinghua University(自动化系,脑启发计算研究中心,清华大学)