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A hybrid Simulated Annealing Algorithm-Genetic Algorithm is used to study the optimal reservoir operation. Then compared with other three methods, such as Genetic Algorithm, POA, and traditional Dynamic Programming, the proposed algorithm has much stronger ability of global search as well as better convergence property and can find the global optimization solution quickly. It is showed that hybrid...
The change of the river eco-hydrological process has an intensely responding with its corresponding ecological environment. Thus carrying out researching on variation trends of river eco-hydrological factors is contributory to find out evolution law and mechanism of the river ecological system. The paper firstly studied on the elements statistical characteristics on runoff, flood, river sediment and...
Reservoir flood control operation, which plays an important role in reducing the flood loss, ensuring the safety of life and property and realizing the safe utilization of flood resources, is a complex decision making problem involving flood control, water supply and power generation. For the precise optimal solution of reservoir flood control operation is difficult to be found, thus the researching...
For keeping the health of river, we put forward a meaning of reasonable regulating capacity of cascade reservoir in this paper, and researching the relationship between water demand and storage capacity and the issues about separation and compensation of storage capacity, etc. then established a reasonable model which aimed to minimize the size of capacity by regulating the storage of the cascade...
Based on the risk characters and conception of compensating regulation, the risk identification model was established. Monte-Carlo random simulation model for multifactor risk evaluation was built and applied to the risk analyses of compensating regulation of cascade reservoirs on the main stream of Yellow River in combination with the risk indexes, and 19 integrated compensating regulation schemes...
Difficulties likely exist in optimal reservoir operation along with discreteness and nonlinear constraints. The purpose of this paper is to aim at overcoming these defects. The particle swarm optimization algorithm with optimizing ability in the continuous field is suggested for reservoirs optimal operation to solve the bottleneck in the optimizing process caused by discreteness. Moreover, in order...
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