基于智能AT-SHAPF控制以提高SOFC驱动混合系统中的功率质量
Yerramala Jagadeesh1, Balakrishna Kethineni2
1Department of EEE, Vignan's Foundation for Science, Technology and Research, Guntur, India. 221FG06002@vignan.ac.in.
Scientific reports
|October 2, 2025
概括
一个新的自适应神经模糊推理系统 (ANFIS) 控制的功率过器通过减少波扭曲和提高在具有挑战性的负载条件下的功率质量来改善使用固体氧化物燃料电池 (SOFC) 的混合动力系统.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 整合可再生能源的整合
背景情况:
- 将固体氧化物燃料电池 (SOFC) 与电网/发电机集成的混合动力电力系统面临电压下降和电流扭曲等电力质量问题.
- 非线性负荷和动态条件加剧了这些问题,导致SOFC不稳定性 (H2饥饿,O2不平衡,热应力) 和效率下降.
研究的目的:
- 提出和评估一种新的自适应神经模糊推理系统 (ANFIS) 控制的可调节的可调节子主动功率过器 (AT-SHAPF).
- 在不平衡供应和非线性负载条件下,提高SOFC驱动混合系统的功率质量.
- 为了证明ANFIS控制对传统的比例整合 (PI) 和模糊逻辑控制器 (FLC) 的优越性,用于和反应功率补偿.
主要方法:
- 开发一个由ANFIS控制的AT-SHAPF,用于智能实时补偿.
- 使用即时反应电力理论 (IRPT) 精确的参考电流生成.
- 在MATLAB/Simulink中进行系统评估,分析总波扭曲 (THD),电流扭曲因子 (CDF) 和真实功率因子.
主要成果:
- 在没有补偿的情况下,THD达到29.31%.
- 基于PI的AT-SHAPF将THD降低到5.88%,基于FLC的3.22%.
- 拟议的基于ANFIS的AT-SHAPF实现了最低的THD,1.63%,显示出优异的声抑制和功率因子校正.
结论:
- 由ANFIS控制的AT-SHAPF有效地提高了SOFC混合系统中的功率质量.
- 它在调和功率因子校正方面显著优于传统的PI和FLC方法.
- 该系统为管理不平衡和非线性负载条件提供了卓越的适应性.
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