人工免疫系统 (GA-AIS) 能够在分布式发电中减轻功耗损失:X3PAIS优化方法
Oday A Ahmed1, K H Chong2, S P Koh2
1Department of Electrical Engineering, University of Technology- Iraq, 35299, Baghdad, Iraq.
Heliyon
|September 23, 2024
概括
本研究介绍了X3PAIS,一种增强的人工免疫系统 (AIS),用于优化电力系统中的分布式发电 (DG). 通过智能放置和大小DG单元,X3PAIS显著降低了功耗损失,提高了电网稳定性.
科学领域:
- 电气工程 电气工程
- 人工智能的人工智能
- 优化算法 优化算法
背景情况:
- 工业化增加了能源需求,给传统发电带来了压力.
- 分布式发电 (DG) 是必不可少的,但需要仔细整合,以防止电力系统中断.
- 人工免疫系统 (AIS) 算法提供了优化潜力,但需要进一步开发.
研究的目的:
- 开发一个改进的人工免疫系统 (AIS) 算法,以优化发电系统.
- 为应对整合多个分布式发电 (DG) 单元的挑战.
- 为了最大限度地减少电力损失,并提高发电网的稳定性.
主要方法:
- 一种新的杂交策略,X3PAIS,是通过将克隆选择与三亲交叉组合而开发出来的.
- X3PAIS在各种应用中进行了严格的测试,包括机械系统和数学问题,以验证其稳定性.
- 应用了X3PAIS算法,以优化在发电系统中的多个DG单元的位置和尺寸.
主要成果:
- X3PAIS在各种领域的预测中展示了强度和多功能性.
- 在一个有四个总局的电力分配系统中应用,导致电力损失减少超过89%.
- 该研究证实了X3PAIS在优化GD放置和大小以匹配负载配置文件方面的有效性.
结论:
- X3PAIS算法是优化多个DG单位的发电系统的一个有希望的方法.
- 进一步的改进,如采用三母多点交叉,可以进一步提高功耗损失的优化.
- 使用人工智能驱动的方法进行有效的总局集成对于满足不断增长的能源需求和确保电网可靠性至关重要.
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