Research on Optimal Allocation of Water Resources Based on Large-Scale System Decomposition and Coordination Model

The construction of water resources optimal allocation model is the premise and foundation of solving and evaluating the optimal allocation model of water resources. The allocation of water resources includes not only the simple allocation of water resources, but also the protection of water resources and the analysis of the relationship between water supply and demand. Aiming at the problem of water shortage in the receiving area of water diversion from Hanjiang River to Weihe River, the large-scale system decomposition and coordination algorithm is used to optimally allocate the water use departments of each district of the water diversion area from Han to Wei River in Shaanxi Province, and establish the water diversion project from Han to Wei River. Optimal allocation model of water resources in the water receiving area. The results show that: in the 2030 planning level, the water supply of key cities, Xixian new district, medium/small cities, and industrial parks were 153.57, 368.16, 632.04, and 208.68 million m3, respectively, and the corresponding water shortage rate was 2.8%, 5.6%, 8.4%, 11.2%. The water supply sequence has a lower water shortage rate than the previous one, and the water shortage rate of the domestic water sector in key cities is only 1.2%. From the water shortage situation of various water departments in 2030, it can basically meet the water shortage of water receiving objects and effectively improve the water shortage in water receiving areas.

Optimal Allocation Model of Virtual Power Plant Capacity considering Electric Vehicles

To push forward the development of electric vehicles while improving the economy and environment of virtual power plants (VPPs), research on the optimization of VPP capacity considering electric vehicles is carried out. In this paper, based on this, this paper first analyzes the framework of the VPP with electric vehicles and models each unit of the VPP. Secondly, the typical scenarios of wind power, photovoltaic, electric vehicle charging and discharging, and load are formed by the Monte Carlo method to reduce the output deviation of each unit. Then, taking the maximization of the net income and clean energy consumption of the VPP as the objective function, the capacity optimal allocation model of the VPP considering multiobjective is constructed, and the conditional value-at-risk (CVaR) is introduced to represent the investment uncertainty faced by the VPP. Finally, a VPP in a certain area of Shanxi Province is used to analyze a calculation example and solve it with CPLEX. The results of the calculation example show that, on the one hand, reasonable selection of the optimal scale of EV connected to the VPP is able to improve the economy and environment of the VPP. On the other hand, the introduction of CVaR is available for the improvement of the scientific nature of VPP capacity allocation decisions.

Multi-objective optimal allocation of water resources in Yangchangwan mining area based on ecological priority

With the development of mining area economy and the adjustment of industrial structure from traditional heavy industry to hightech industry, the supply and demand structure of water resources has changed significantly, and the ecological damage in mining area make the ecological water consumption increase significantly. This paper summarizes the water supply of surface water, groundwater, mine drainage and reclaimed water, as well as all kinds of water demand. Based on the principle of ecological priority, a multi-objective optimal allocation model for the coordinated development of ecological environment, social economy and water resources in Yangchangwan mining area was constructed. The results show that the multi-objective optimal allocation model well coordinated the social and economic development goals and resource saving goals, and the optimization scheme ensured that the water demand satisfaction of each water sector reached 100%. On the one hand, it can provide technical support for the mining area to realize the green water and green mountains pattern as soon as possible, on the other hand, it can also provide reference for water resources management in other similar areas.

Optimal Allocation Model of Plant Community in Slope Ecological Restoration

<p>In order to effectively analyze the optimal allocation mode of plant community in the process of slope ecological restoration, 15 plants were selected and 10 plant community combinations were designed. The experiment lasted for 90 days, and the optimal allocation model of plant community was obtained. The optimal allocation pattern of plant communities in slope ecological restoration was C7: 10 plants of Amorpha fruticosa + 20 plants of Vitex negundo + 30 plants of Festuca arundinacea + 20 plants of Moxa argyi + 10 plants of Dianthus caryophylla + 20 plants of Lespedeza + 10 plants of Leucaena + 8 plants of Acacia; C8: 30 plants of Euonymus microphylla + 10 plants of Shearnut + 20 plants of Alfalfa + 30 plants of Pigeon Beans + 20 plants of Crotalaria mucronata + 20 plants of Mimosa bimucronata; C3: 20 plants of Amorpha fruticosa + 50 plants of Euonymus fortunei var. radicans + 20 plants of Aicao + 10 plants of Pigeon bean + 8 plants of Leucaena +10 plants of Dodonaea viscosa. The experimental results show that the optimal allocation model of plant community is effective in slope ecological restoration.</p>