Study Of Optimal Water Resources Allocation Of Irrigation District Based On Chaotic Differential Eevolution

Water resource is not only an essential material basis for human survival andsocio-economic development, but also the irreplaceable natural resources. Withpopulation growth and rapid socio-economic development, human is using the limitedwater resources at an unprecedented rate and scale, and triggers a series of waterresource issues. Therefore, we must optimize the allocation of the limited waterresources, to achieve the sustainable use of water resources, promoting a virtuouscycle of the ecological environment to ensure sustainable socio-economicdevelopment.The paper first discussed the concept, principles and main contents of the waterresources optimal configuration, reviewed the research status, summarized andanalyzed the development trend of water resources allocation, then concluded that thedevelopment trends of optimal water resources allocation can be roughly divided intotwo aspects of theory and application.By selecting a highland irrigation district as the study area, the paper analyzedthe characteristics of the irrigated area of the plateau: lower temperature comparedwith the same latitude; small annual temperature range and large diurnal temperaturerange; small rainfall inter-annual changes; annual distribution of the rainy season anddry season; large annual evaporation in which ice, snow evaporation occupy a certainproportion; part of runoff recharges from snowmelt and groundwater; inter-annualchanges in uniform, however, the annual varies greatly; flood belongs to the rainsnowmelt hybrid, etc.According to the specific situation of the irrigation district, it can be analyzedthat the optimal allocation of water in the irrigation district is the core of the reservoiroperation problem. Based on meeting the irrigation district water demand, the papertook maximum amount of reservoir power generation as the objective function, listedthe mathematical model for reservoir operation, selected the differential evolutionalgorithm as the algorithm.The paper discussed the algorithm parameter optimization method to determinethe main parameter values. By adding chaotic ideology, the paper improved thealgorithm effectively to get chaotic differential evolution (CDE), then prepared theprogram through Matlab.The paper used CDE to solve the model on the basis of meeting75%irrigation guarantee rate in Irrigation District A. Take75%guaranteed rate of runoff conditionsfor example, after optimization, the generating capacity of the power plantsthroughout the year is6.04×10~8kW·h, and it exceeds11%(0.59×10~8kW·h),contrasting with the pre-optimization5.45×10~8kW·h. In multi-year averageconditions, after optimization, the generating capacity of the power plants inmulti-year average conditions is6.97×10~8kW·h, and it exceeds16%(nearly1×10~8kW·h), contrasting with the pre-optimization5.99×10~8kW·h.