优化热电厂的效率,通过基于冲洗过器的比例积分导数控制器
Sundaravelu Lakshmi1, Anandaraj Manommani1,2
1Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, 600123, India.
Heliyon
|March 14, 2025
概括
这项研究通过控制水流速和温度来优化热电厂的效率. 先进的算法提高了稳定性,并实现了98%的发电效率,超过了现有的方法.
科学领域:
- 能源系统工程 能源系统工程
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 提高热电厂的效率对于现代能源需求至关重要.
- 现有的方法缺乏对温度和水流量控制影响的全面分析.
- 优化这些参数是提高整体系统性能的关键.
研究的目的:
- 调查温度和水流率控制对热发电效率的影响.
- 开发一个先进的控制系统,以优化热电厂的运行.
- 为了提高系统稳定性和发电输出.
主要方法:
- 使用了非矿化水和一个带有洗过器 (WF) 的比例积分导数 (PID) 控制器.
- 基于使用强化学习的缩放性玛长期短期记忆 (RL-SGLSTM) 用于PID参数调整.
- 实现了脉冲宽度调制 (PWM) 用于水流控制,弹振动阻尼器 (SVD) -模糊控制器 (BFC) 用于频率稳定,以及基于动态电压恢复器的统一电源流控制器 (DV-UPFC) 用于减轻电压下降.
- 使用基于最大转移相关距离的K-Means算法 (MSC-KMA) 评估冷却效率.
主要成果:
- 微调 PID 参数显著影响系统的稳定性和性能.
- 冷却效率驱动的水流控制提高了热电厂的运行.
- 拟议的方法实现了98%的发电效率,超过了现有的技术.
结论:
- 集成先进的控制策略,包括RL-SGLSTM和优化水流,大大提高了热电厂的效率.
- 开发的系统在稳定性和能量输出方面表现出卓越的性能.
- 这项研究为提高热发电效率提供了一个强大的框架.
相关概念视频
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01:07Time-Domain Interpretation of PD Control
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01:26PD Controller: Design
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01:24Frequency-Domain Interpretation of PD Control
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