A stochastic approach to the operative control of flood flows through a reservoir

作者：Jaros Lubomir^*; Stary Milos; Brezkova Lucie

来源：Journal of Hydrology and Hydromechanics, 2016, 64(1): 91-96.

DOI：10.1515/johh-2016-0012

• Operative control of reservoir
• Artificial intelligence
• Fuzzy inference system
• Neural networks
• Stochastic forecast
• Stochastic control of reservoir
• Principle of adaptation

The contribution focuses on the design of a control algorithm aimed at the operative control of runoff water from a reservoir during flood situations. Management is based on the stochastically specified forecast of water inflow into the reservoir. From a mathematical perspective, the solved task presents the control of a dynamic system whose predicted hydrological input (water inflow) is characterised by significant uncertainty. The algorithm uses a combination of simulation model data, in which the position of the bottom outlets is sought via nonlinear optimisation methods, and artificial intelligence methods (adaptation and fuzzy model). The task is written in the technical computing language MATLAB using the Fuzzy Logic Toolbox.

• 出版日期2016-3