Data assimilation (DA) holds considerable potential for improving hydrologic predictions as
demonstrated in numerous research studies. However, advances in hydrologic DA research …

In this paper we consider a model for a cascade of hydro-electric power stations where
some of the stations have reversible turbines. The objective of our work is to optimize the …

Traditionally, hydro turbine governor applications mainly rely on classical proportional–
integral–derivative controllers. A classical controller can perform optimally only at the …

The uncertainties in system and model parameters arising from the volatility of market,
weather and operating conditions pose a major challenge to the optimal short-term …

In this paper, we analyze and compare five distributed model predictive control (DMPC)
schemes using a hydro‐power plant benchmark. Besides being one of the most important …

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 …

This work presents the design of a combined control and state estimation approach to
simultaneously maintain optimal water levels and maximize hydroelectricity generation in …

The paper describes an application of MPC to maintaining the water level of navigation
canals. The task is to ensure that the water level is within a certain range to enable …

This paper formulates a control problem for systems that are affected by uncertain inputs and
are vulnerable to risks as a chance-constrained optimization problem (CCP) with two …

The aim of this paper is to introduce a new method for the solution of optimal control
problems for which the system is composed by many subsystems whose dynamics are …