一种创新的生物灵感的Aquila技术,有效地解决了联合电力和热量的经济调度问题
Sultan Hassan Hakmi1, Ghareeb Moustafa1, Hashim Alnami1
1Electrical Engineering Department, College of Engineering, Jazan University, 45142, Jazan, Saudi Arabia.
Scientific reports
|September 4, 2024
概括
本研究介绍了一种改进的Aquila优化技术 (IAQT),以最大限度地降低联合热电经济调度 (CHPED) 的成本. 通过包括传输损失和增强搜索能力,IAQT有效降低了发电成本.
科学领域:
- 电力系统工程 电力系统工程
- 优化算法 优化算法
- 计算智能是一种计算智能.
背景情况:
- 综合热电经济调度 (CHPED) 对于高效的能源管理至关重要.
- 在热电联热系统中,准确的成本估计需要考虑传输损失.
- 由于局限性,标准优化技术可能会产生低于最佳的解决方案.
研究的目的:
- 为了解决CHPED问题,开发了一种改进的Aquila优化技术 (IAQT).
- 尽量减少电力发电系统的总体发电成本,同时尊重运营约束.
- 通过减少对最佳解决方案的依赖来增强优化算法的探索能力.
主要方法:
- 该研究提出了一个增强的IAQT算法,修改了标准的Aquila优化技术 (AQT).
- 传输损失被纳入经济调度模型,以便更准确地评估成本.
- 通过消除对最佳解决方案的依赖,并添加维度约束,IAQT算法的搜索空间探索得到了改进.
主要成果:
- 与CEC 20基准函数的标准AQT相比,IAQT算法表现出优异的性能.
- 在各种单位系统 (7,48,96个单位) 上进行了广泛的测试,有和没有损失,证实了IAQT的有效性.
- 拟议的IAQT实现了比以前报告的CHPED方法更好的结果.
结论:
- 增强的IAQT是一种高效和有效的方法来解决复杂的CHPED问题.
- 纳入传输损失可以显著提高经济调度解决方案的准确性和效率.
- IAQT算法提供了一个强大的方法,在现实世界电力系统中具有实际应用的潜力.
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