Sharifi Miavaghi Amir, Esmaeili Asghar
Faculty of Science, Department of Physics, Urmia University, Urmia 5756151818, Iran.
Micromachines (Basel). 2023 Apr 11;14(4):832. doi: 10.3390/mi14040832.
When a fault occurs in photovoltaic systems, a human expert should be present at the scene and perform tests to determine the location and type of the fault. In such a situation, in order to maintain the safety of the specialist, protective measures such as shutting down the power plant or isolating the faulty part are usually taken. Given the fact that the equipment and technology of photovoltaic systems are expensive and their efficiency is currently relatively low (about 20%), a complete shutdown of the plant or part of it can be economical, return on investment and achieve profitability. Therefore, as much as possible, efforts should be made to detect and eliminate errors in the shortest possible time without shutting down the power plant. On the other hand, most solar power plants are located in desert areas, which make them difficult to access and visit. In this case, training skilled manpower and the constant presence of an expert on site can be very costly and uneconomical. Also, if these errors are not detected and fixed in time, they can lead to power loss (not using the maximum potential of the panel), device failure and eventually fire. In this research, using fuzzy detection method, a suitable method for detecting the error of partial shadow occurrence in solar cells is presented. Based on the simulation results, the efficiency of the proposed method is confirmed.
当光伏系统发生故障时，人类专家应亲临现场并进行测试，以确定故障的位置和类型。在这种情况下，为了确保专家的安全，通常会采取诸如关闭发电厂或隔离故障部件等保护措施。鉴于光伏系统的设备和技术成本高昂，且目前其效率相对较低（约20%），完全关闭整个发电厂或其一部分可能在经济上是可行的，能够实现投资回报并达到盈利目的。因此，应尽可能在不关闭发电厂的情况下，努力在最短时间内检测并消除故障。另一方面，大多数太阳能发电厂位于沙漠地区，这使得它们难以到达和进行现场检查。在这种情况下，培训技术人员并让专家长期驻守现场可能成本非常高昂且不经济。此外，如果这些故障未及时检测和修复，可能会导致电力损失（无法利用面板的最大潜力）、设备故障并最终引发火灾。在本研究中，提出了一种基于模糊检测方法的、适用于检测太阳能电池中局部阴影出现故障的方法。基于仿真结果，验证了所提方法的有效性。
