基于IA-PSO的水下控制系统灵敏度分析

Jianbo Xu
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摘要

在美国西南部,鲍威尔湖和米德湖负责为周围的亚利桑那州(AZ)、加利福尼亚州(CA)、怀俄明州(WY)、新墨西哥州(NM)和科罗拉多州(CO)五个州供水和发电。据此,我们建立了三个模型,并结合现实中各种条件的变化对其进行了建立和敏感性分析。模型1结合多种供水需求,将五种状态的供水和供电经济效益作为目标函数进行优化。在设定约束条件时,该模型考虑了水平衡、水和电力供应的最低需求、湖泊水位要求以及下游墨西哥的主权问题等因素。考虑到季节对各因素的影响,决策变量为每季度各州的供水流量和供电流量。在求解模型时,采用IA-PSO进行优化,降低了局部最优解的可能性。优化结果是两湖在一年的四个季度向各州提供的电力和供水流量的最优分配。在CO的情况下,当供水量超过需求时,提供优化的供水流量以满足其四分之一的用水量需求的时间计算为57.5天;当供水量不能满足需求时,需要额外补充的水量为0.8×109m3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity analysis of underwater control system based on IA-PSO
In the southwestern United States, Lakes Powell and Lake Mead are taking the responsibility of supplying water and generating electricity to the surrounding five states of Arizona (AZ), California (CA), Wyoming (WY), New Mexico (NM), and Colorado (CO). Accordingly, we have established three models, and have established them and conducted sensitivity analysis combined with changes of various conditions in reality. In combination with multiple water supply needs, Model 1 optimizes the economic benefits from water and power supply of the five states as objective functions. In setting the constraints, the model takes into account such factors as water balance, minimum demand for water and power supplies, lake level requirements, and issues of sovereignty in downstream Mexico. Considering the influence of seasons on various factors, the decision variables are the water supply flow and power supply flow of each state on a quarterly basis. When solving the model, IA-PSO is used for optimization, reducing the possibility of local optimal solution.The optimization result is the optimal distribution of the power and water supply flows provided by the two lakes to the states over the four quarters of a year. In the case of CO,when the supply exceeds the demand, the time to provide the optimized water supply flow to meet its one-quarter water consumption demand is calculated to be 57.5 days; while when the supply fails to meet the demand, the additional water supplement required is 0.8×109m3.
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