通过实施优化算法来最大限度地提高水分系统的效率和性能:对门和增压器的放置和管理进行全面分析
Mohamadreza Najarzadegan1, Mehrtash Eskandaripour2
1Department of Civil Engineering, Faculty of Civil Engineering and Transportation, University of Isfahan (UI), Isfahan, Iran.
Heliyon
|February 21, 2025
概括
使用流量控制 (FCV) 和增压器优化水分系统 (WDS) 可以提高水的压力和质量. 模算法 (SMA) 为WDS管理提供了一个比遗传算法 (GA) 更有效的解决方案.
科学领域:
- 环境工程 环境工程
- 水资源管理 水资源管理
- 运营研究 运营研究
背景情况:
- 有效的供水系统 (WDS) 对于可持续的水资源获取至关重要.
- 在WDS中平衡液压性能和水质是一个重大挑战.
- 现有的优化方法往往忽视了压力管理和水质之间的相互作用.
研究的目的:
- 开发一个综合框架,以优化水力性能和水质在WDSs.
- 为了评估使用流量控制 (FCV) 和增压器优化压力管理的有效性.
- 为了比较基因算法 (GA) 和粘液模具算法 (SMA) 的性能,以优化WDS.
主要方法:
- 实现先进的优化算法:遗传算法 (GA) 和粘算法 (SMA).
- 将综合优化方法应用于两个WDS基准网络:Jowitt和Xu和GoYang.
- 分析FCV数量,提升剂,系统成本和可靠性之间的权衡.
主要成果:
- 平均压力波动减少了15%,残余均度提高了20%.
- 模算法 (SMA) 显示出高于GA的性能,错误率降低了12%,计算时间减少了33%.
- 确定了影响WDS管理成本和可靠性的关键权衡.
结论:
- 综合优化方法有效地提高了WDS液压性能和水质.
- 与GA相比,SMA是WDS优化的计算效率更高,准确的算法.
- 调查结果为水利公司提供了实际见解,以提高系统效率,降低成本并确保水安全.
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