在不同规模系统中解决联合热电经济调度问题,使用帝国主义竞争Harris Hawks优化算法
1Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah 67144-14971, Iran.
Biomimetics (Basel, Switzerland)
|December 22, 2023
概括
帝国主义的竞争性哈里斯霍克斯优化 (ICHHO) 算法有效地解决了复杂的热电经济调度 (CHPED) 问题. 这种新的方法可以降低大型电力系统的运营成本,提高解决方案质量.
科学领域:
- 电气工程 电气工程
- 优化理论 优化理论
- 计算智能是一种计算智能.
背景情况:
- 电力负载调度 (ELD) 问题旨在实现最佳的发电厂规划,以最低成本满足需求.
- 热电联合发电 (CHP) 装置通过同时生产电力和热能来提高能源效率并减少污染.
- 集成热电热发电单元将ELD转化为复杂的,非线性和非凸的热电联合经济调度 (CHPED) 问题.
研究的目的:
- 为CHPED问题提供优化算法的综述.
- 介绍和评估新的帝国主义竞争激烈的哈里斯霍克斯优化 (ICHHO) 算法,用于大规模的CHPED.
- 通过结合帝国主义竞争算法 (ICA) 和哈里斯·霍克斯优化器 (HHO) 来解决个别算法的探索和利用局限性.
主要方法:
- 对CHPED的经典,随机和混合优化技术进行全面的审查.
- 开发和应用混合ICHHO算法,合并ICA和HHO.
- 在四个标准案例研究中测试ICHHO算法,其中有24,48,84和96个单位.
主要成果:
- ICHHO算法在解决大规模的CHPED问题方面表现出卓越的性能.
- 对比分析显示,ICHHO比现有的算法实现了更好的解决方案质量和更低的燃料成本.
- 与文献基准相比,模拟结果显示成本降低至少为0.1870%至0.342%.
结论:
- 拟议的ICHHO算法对于解决复杂,大规模的CHPED问题是有效的.
- ICHHO提供了一个强大的方法来优化能源系统与热电联产单位.
- 混合战略增强了勘探和开采能力,以改善经济运输结果.
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