Page 108 - 2022年第53卷第4期
P. 108
Research on multi-target water level predictive control model of multi-stage cascaded
open channel water diversion project
1,2 3,4 3 5 3
KONG Lingzhong ,LEI Xiaohui ,ZHANG Zhao ,ZHU Jie ,WANG Hao
(1. College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou 225009,China;
2. College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,China;
3. Department of Water Resources,China Institute of Water Resources and Hydropower Research,Beijing 100038,China;
4. School of Water Conservancy and Hydroelectric Power,Hebei University of Engineering,Handan 056038,China;
5. Faculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China)
Abstract:Aiming at the problem that the traditional open channel water level predictive control model can⁃
not consider the limitation of the number of gate adjustments, this paper adds the flow adjustment penalty
to the previous predictive control targets and constructs a multi-target open channel water level predictive
control model,then a genetic algorithm with elite sorting strategy is used to solve the complex optimization
problem. The model is tested on a simulation model of the last six pools of the South-to-North Water Di⁃
version Middle Route Project to analyze the model reliability. The results show that in the two test condi⁃
tions, compared with the traditional predictive control model, the multi-objective predictive control model
in this paper can maintain the similar water level control effect while reducing the gate control times by
43% and 52% ; moreover, taking the genetic algorithm as the solution method can consider the minimum
flow variation constraint caused by the dead zone of the gate and generate a more reasonable control plan
when the flow needs to be fine-tuned in advance. This paper also shows the feasibility of constructing a
multi-objective predictive control model based on a state prediction model and using heuristic algorithms to
solve the optimization problem.
Keywords:channel water level control;predictive control;integrator-delay model;multi-objective optimiza⁃
tion;genetic algorithm
(责任编辑:王 婧)
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