Multi-Objective Optimal Operations Based on Improved NSGA-II for Hanjiang to Wei River Water Diversion Project, China

Abstract

It is important to investigate the laws of reservoir multi-objective optimization operations, because it can obtain the best benefits from inter-basin water transfer projects to mitigate water shortage in intake areas. Given the multifaceted demands of the Hanjiang to Wei River Water Diversion Project, China (referred hereafter as “the Project”), an easy-to-operate multi-objective optimal model based on simulation is built and applied to search the multi-objective optimization operation rules between power generation and energy consumption. The Project includes two reservoirs connected by a water transfer tunnel. One is Huangjinxia, located in the mainstream of Hanjiang with abundant inflow but no regulation ability, and the other is Sanhekou, located in the tributary of Hanjiang with multi-year regulation ability but less water. The layout of the Project increases the difficulty of reservoir joint optimization operations. Therefore, an improved Non-dominated Sorting Genetic Algorithm-II (I-NSGA-II) with a feasible search space is proposed to solve the model based on long-term series data. The results show that: (1) The validated simulation model is helpful to obtain Pareto front curves to reveal the rules between power generation and energy consumption. (2) Choosing a reasonable search step size to build a feasible search space based on simulation results for the I-NSGA-II can help find more optimized solutions. Considering the influence of the initial populations of the algorithm and limited computing ability of computers, the qualified rate of Pareto points solved by I-NSGA-II are superior to NSGA-II. (3) According to the characteristics of the Project, water transfer ratio threshold value of two reservoirs are quantified for maximize economic benefits. Moreover, the flood season is a critical operation period for the Project, in which both reservoirs should supply more water to intake areas to ensure the energy balanced of the entire system. The findings provide an easy-to-operate multi-objective operation model with the I-NSGA-II that can easily be applied in optimal management of inter-basin water transfer projects by relevant authorities.

Investigating variations of precipitation concentration in the transitional zone between Qinling Mountains and Loess Plateau in China: Implications for regional impacts of AO and WPSH

“…Meanwhile, the western QDM is in the drainage area of the Huangjinxia reservoir which is the primary water resources area for the Hanjiang to Wei River Water Diversion Project under construction. The task of the project is to transfer an average of 1.5 billion m 3 water per year from the Han River to the Guanzhong area of Shaanxi Province, serving important cities, counties, and industrial parks [ 59 ]. Unfortunately, precipitation in the GZP as the intake area of the project has been declining.…”

The Stackelberg game model of cross-border river flood control

“…For example, Zhou et al (2022) believed that a conceptual hydrological model based on machine learning technology can be used to predict short-term flood probability density. Wu et al (2019) believed that the water diversion project of the Han river and the Wei river can effectively solve the local flood control problem. Transnational floods often occur in transnational river basins.…”

Multi-Objective Optimal Operation of the Inter-Basin Water Transfer Project Considering the Unknown Shapes of Pareto Fronts

“…As an important engineering measure to change the spatial and temporal distribution of water resources, the inter-basin water transfer project can effectively alleviate the contradiction between water supply and demand and improve the ecological environment in the water receiving area [4,5], such as the South-to-North Water Transfer Project of China [6]. The inter-basin water transfer project usually includes reservoir-pump-power station groups, water-storage user groups, and long-distance water transport facilities [7]. The optimized operation generally has the characteristics of high dimension, candidate solutions in the multi-objective evolutionary algorithm based on indicators.…”