智能物联网平台用于多个光伏电站监控
Ida Bagus Krishna Yoga Utama1, Radityo Fajar Pamungkas1, Muhammad Miftah Faridh1
1Department of Electronics Engineering, Kookmin University, Seoul 02707, Republic of Korea.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究介绍了一种物联网平台,用于监控多个光伏 (PV) 电厂,通过人工智能驱动的发电预测和实时传感器异常检测来增强运营.
科学领域:
- 可再生能源系统可再生能源系统
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 人工智能 (AI) 是一种人工智能.
背景情况:
- 太阳能 (PV) 电厂行业的快速扩张需要有效管理地理分布的设施.
- 当前的运营和维护策略与监控多个远程光伏电站的复杂性作斗争.
研究的目的:
- 开发一个整合的物联网 (IoT) 平台,用于集中监控多个光伏 (PV) 电站.
- 通过预测发电和实时异常检测功能来增强平台的功能.
主要方法:
- 实施一个物联网平台,用于汇总来自多个光伏厂的数据.
- 开发和比较五个人工智能 (AI) 模型,用于下一天的发电预测.
- 适应适应值隔离森林算法的应用,用于检测光伏电站内的传感器异常.
主要成果:
- 开发的物联网平台成功实现了对多个光伏发电厂的集中监控.
- 该BiLSTM人工智能模型在发电预测方面表现出卓越的性能,实现了低误差指标 (MSE: 0.0072,MAPE: 0.1982,MAE: 0.0542) 和高精度 (R2: 0.9664).
- 适应值隔离森林在识别传感器异常时实现了高精度 (0.9517).
结论:
- 拟议的物联网平台为管理多个光伏电站提供了有效的解决方案.
- 由人工智能驱动的预测和异常检测显著提高了光伏能源系统的运行效率和可靠性.
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