在太阳能发电厂的系统识别和故障重建通过扩展卡尔曼波器基于循环神经网络的循环神经网络的训练
Sara Ruiz-Moreno1, Alberto Bemporad1, Antonio Javier Gallego2
1IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.
ISA transactions
|January 11, 2025
概括
本研究使用循环神经网络 (RNN) 和扩展卡尔曼过器 (EKF) 来检测太阳能发电厂的故障. 该方法在识别和重建故障方面达到很高的准确性,即使在不同的天气条件下.
科学领域:
- 可再生能源系统可再生能源系统
- 在工程领域的人工智能.
- 控制系统 控制系统
背景情况:
- 抛物线通道太阳能发电厂需要强大的故障检测才能高效运行.
- 由于复杂的系统动态和传感器噪声,准确的故障诊断具有挑战性.
- 现有的方法可能会在收集器系统中的故障辨别方面扎.
研究的目的:
- 开发和评估一个完整的方法,用于错误估计和分类在抛物线通道太阳能发电厂.
- 为了利用循环神经网络 (RNN) 进行系统建模和扩展卡尔曼过器 (EKF) 进行故障参数重建.
- 通过先进的诊断技术,提高太阳能热发电的可靠性和性能.
主要方法:
- 使用递归神经网络 (RNN) 来建模太阳能发电厂的动态行为.
- 使用并行扩展的卡尔曼过器 (EKF) 来重建集热器系统中的故障参数.
- 使用feedforward神经网络根据EKF的估计错误对故障类型进行分类.
- 在不同的太阳辐射条件下 (阳光和阴天) 在ACUREX工厂模型上进行了模拟.
主要成果:
- 拟议的方法实现了约90%的故障分类准确性.
- 在不同的场景中,故障重建错误保持在3%以下.
- 与阳光数据集相比,云彩数据集的分类准确度更高,表明了强度.
结论:
- 联合使用RNN和EKF提供了一个有效的解决方案,用于在抛物线穿过太阳能发电厂故障诊断.
- 该方法在故障识别和重建中表现出高精度和低误差.
- 这种方法对提高太阳能热能系统的运行稳定性和效率充满希望.
相关概念视频
01:21Power System Three-Phase Short Circuits
74
Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
74
01:25Multimachine Stability
140
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
140
01:21Three-Phase Short Circuit—Unloaded Synchronous Machine
117
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
117
01:26The Power Flow Problem and Solution
162
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the...
162
01:24Bus Impedance Matrix
104
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
104
01:24Fast Decoupled and DC Powerflow
165
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
165