NSGA-II for optimizing reservoirs multi-objectives operating strategies
Journal
Taiwan Water Conservancy
Journal Volume
59
Journal Issue
1
Start Page
1
End Page
10
ISSN
0492-1550
Date Issued
2011-01
Author(s)
Abstract
The Jhuoshuei River is the longest river in Taiwan with abundant water resources; the population growth and the dramatic economic development have resulted in a tremendous demand for water resources. How to effectively manage the water resources is one of the most important tasks for hydrologists. This paper presents a non-dominated sorting genetic algorithm (NSGA-II) to derive a set of optimal joint operating rule curves for a two-reservoir system, Wu-She Reservoir and Jih-Yueh-Tan Reservoir, in the Jhuoshuei River system. These two series reservoirs are the main reservoirs for water supply and hydroelectric power generation. The NSGA-II is coupled with an operational simulation model to search the optimal joint rule curve for minimizing shortage indices (SI) and maximizing hydroelectric power generation. The Pareto-front solutions obtained from NSGA-II provide the decision makers with a wide range of choices. The results indicate that NSGA-II is a promising approach. The plentiful optimal solutions along the Pareto front allow the decision makers to choose the best compromise solution when considering the trade-offs between water supply and hydroelectric power generation. The operating rule obtained by NSGA-II can not only meet the water demands in the downstream area but also satisfy the reservoir electricity generation and achieve the goal of effective utilization of water resources.
Type
journal article