Multi-Objective Optimization of Water-Sedimentation-Power in Reservoir Based on Pareto-Optimal Solution |
| |
| Authors: | LI Hui LIAN Jijian |
| |
| Institution: | School of Civil Engineering, Tianjin University, Tianjin 300072, China |
| |
| Abstract: | A multi-objective optimal operation model of water-sedimentation-power in reservoir is established with power-generation,
sedimentation and water storage taken into account. Moreover, the inertia weight self-adjusting mechanism and Pareto-optimal
archive are introduced into the particle swarm optimization and an improved multi-objective particle swarm optimization (IMOPSO)
is proposed. The IMOPSO is employed to solve the optimal model and obtain the Pareto-optimal front. The multi-objective optimal
operation of Wanjiazhai Reservoir during the spring breakup was investigated with three typical flood hydrographs. The results
show that the former method is able to obtain the Pareto-optimal front with a uniform distribution property. Different regions
(A, B, C) of the Pareto-optimal front correspond to the optimized schemes in terms of the objectives of sediment deposition,
sediment deposition and power generation, and power generation, respectively. The level hydrographs and outflow hydrographs
show the operation of the reservoir in details. Compared with the non-dominated sorting genetic algorithm-II (NSGA-II), IMOPSO
has close global optimization capability and is suitable for multi-objective optimization problems.
LI Hui, born in 1981, male, doctorate student.
Supported by National Science Fund for Distinguished Young Scholars (No.50725929) and National Natural Science Foundation
of China (No.50539060,50679052). |
| |
| Keywords: | multi-objective optimization of water-sedimentation-power optimal operation of reservoir Pareto-optimal solution particle swarm optimization |
| 本文献已被 维普 万方数据 SpringerLink 等数据库收录！ |
|
