母女船舶运营和维护在海上风电场的路由优化使用重组粒子队群优化
Yuanhang Qi1, Haoyu Luo1,2, Gewen Huang3
1School of Computer Science, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, China.
Biomimetics (Basel, Switzerland)
|September 27, 2024
概括
优化海上风力轮机维护船舶的调度可以降低运营成本. 这项研究引入了一种新的优化算法,该算法可以将维护和维修费用降低28.85%.
科学领域:
- 可再生能源工程可再生能源工程
- 运营研究 运营研究
- 海上物流的海上物流
背景情况:
- 增加海上风力轮机容量增加了长时间停机造成的经济风险.
- 有效的船舶运营和维护 (O&M) 对于降低O&M成本至关重要.
- 现有的研究缺乏先进的O&M船舶的科学调度模型.
研究的目的:
- 用先进的船只开发一个数学模型,以尽量减少O&M支出.
- 为了解决最先进的O&M船只科学调度的研究缺口.
- 将停机成本纳入海上风电场的O&M调度.
主要方法:
- 制定一个数学优化模型.
- 开发一种新的重组粒子群优化 (RPSO) 算法.
- 为O&M调度量身定制的定制编码和解码策略的实施.
主要成果:
- 拟议的RPSO方法实现了28.85%的显著O&M成本节省.
- 模拟结果验证了算法的效率和有效性,优化了O&M时间表.
- 该模型通过考虑停机成本,成功地将整体O&M支出降到最低.
结论:
- 开发的RPSO算法为优化海上风电O&M船舶调度提供了有效的解决方案.
- 这种方法大大降低了运营成本,提高了海上风电场维护的效率.
- 该研究为可再生能源领域的先进O&M船舶的科学调度提供了有价值的工具.
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